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What Are Problem-Solving Skills? Definition and Examples

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Why do employers hire employees? To help them solve problems. Whether you’re a financial analyst deciding where to invest your firm’s money, or a marketer trying to figure out which channel to direct your efforts, companies hire people to help them find solutions. Problem-solving is an essential and marketable soft skill in the workplace. 

So, how can you improve your problem-solving and show employers you have this valuable skill? In this guide, we’ll cover:

Problem-Solving Skills Definition

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Problem-solving skills are the ability to identify problems, brainstorm and analyze answers, and implement the best solutions. An employee with good problem-solving skills is both a self-starter and a collaborative teammate; they are proactive in understanding the root of a problem and work with others to consider a wide range of solutions before deciding how to move forward. 

Examples of using problem-solving skills in the workplace include:

• Researching patterns to understand why revenue decreased last quarter
• Experimenting with a new marketing channel to increase website sign-ups
• Brainstorming content types to share with potential customers
• Testing calls to action to see which ones drive the most product sales
• Implementing a new workflow to automate a team process and increase productivity

Problem-solving skills are the most sought-after soft skill of 2022. In fact, 86% of employers look for problem-solving skills on student resumes, according to the National Association of Colleges and Employers Job Outlook 2022 survey . 

It’s unsurprising why employers are looking for this skill: companies will always need people to help them find solutions to their problems. Someone proactive and successful at problem-solving is valuable to any team.

“Employers are looking for employees who can make decisions independently, especially with the prevalence of remote/hybrid work and the need to communicate asynchronously,” Eric Mochnacz, senior HR consultant at Red Clover, says. “Employers want to see individuals who can make well-informed decisions that mitigate risk, and they can do so without suffering from analysis paralysis.”

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Problem-solving includes three main parts: identifying the problem, analyzing possible solutions, and deciding on the best course of action.

>>MORE: Discover the right career for you based on your skills with a career aptitude test .

Research is the first step of problem-solving because it helps you understand the context of a problem. Researching a problem enables you to learn why the problem is happening. For example, is revenue down because of a new sales tactic? Or because of seasonality? Is there a problem with who the sales team is reaching out to? 

Research broadens your scope to all possible reasons why the problem could be happening. Then once you figure it out, it helps you narrow your scope to start solving it. 

Analysis is the next step of problem-solving. Now that you’ve identified the problem, analytical skills help you look at what potential solutions there might be.

“The goal of analysis isn’t to solve a problem, actually — it’s to better understand it because that’s where the real solution will be found,” Gretchen Skalka, owner of Career Insights Consulting, says. “Looking at a problem through the lens of impartiality is the only way to get a true understanding of it from all angles.”

Decision-Making

Once you’ve figured out where the problem is coming from and what solutions are, it’s time to decide on the best way to go forth. Decision-making skills help you determine what resources are available, what a feasible action plan entails, and what solution is likely to lead to success.

On a Resume

Employers looking for problem-solving skills might include the word “problem-solving” or other synonyms like “ critical thinking ” or “analytical skills” in the job description.

“I would add ‘buzzwords’ you can find from the job descriptions or LinkedIn endorsements section to filter into your resume to comply with the ATS,” Matthew Warzel, CPRW resume writer, advises. Warzel recommends including these skills on your resume but warns to “leave the soft skills as adjectives in the summary section. That is the only place soft skills should be mentioned.”

On the other hand, you can list hard skills separately in a skills section on your resume .

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In a Cover Letter or an Interview

Explaining your problem-solving skills in an interview can seem daunting. You’re required to expand on your process — how you identified a problem, analyzed potential solutions, and made a choice. As long as you can explain your approach, it’s okay if that solution didn’t come from a professional work experience.

“Young professionals shortchange themselves by thinking only paid-for solutions matter to employers,” Skalka says. “People at the genesis of their careers don’t have a wealth of professional experience to pull from, but they do have relevant experience to share.”

Aaron Case, career counselor and CPRW at Resume Genius, agrees and encourages early professionals to share this skill. “If you don’t have any relevant work experience yet, you can still highlight your problem-solving skills in your cover letter,” he says. “Just showcase examples of problems you solved while completing your degree, working at internships, or volunteering. You can even pull examples from completely unrelated part-time jobs, as long as you make it clear how your problem-solving ability transfers to your new line of work.”

Learn How to Identify Problems

Problem-solving doesn’t just require finding solutions to problems that are already there. It’s also about being proactive when something isn’t working as you hoped it would. Practice questioning and getting curious about processes and activities in your everyday life. What could you improve? What would you do if you had more resources for this process? If you had fewer? Challenge yourself to challenge the world around you.

Think Digitally

“Employers in the modern workplace value digital problem-solving skills, like being able to find a technology solution to a traditional issue,” Case says. “For example, when I first started working as a marketing writer, my department didn’t have the budget to hire a professional voice actor for marketing video voiceovers. But I found a perfect solution to the problem with an AI voiceover service that cost a fraction of the price of an actor.”

Being comfortable with new technology — even ones you haven’t used before — is a valuable skill in an increasingly hybrid and remote world. Don’t be afraid to research new and innovative technologies to help automate processes or find a more efficient technological solution.

Collaborate

Problem-solving isn’t done in a silo, and it shouldn’t be. Use your collaboration skills to gather multiple perspectives, help eliminate bias, and listen to alternative solutions. Ask others where they think the problem is coming from and what solutions would help them with your workflow. From there, try to compromise on a solution that can benefit everyone.

If we’ve learned anything from the past few years, it’s that the world of work is constantly changing — which means it’s crucial to know how to adapt . Be comfortable narrowing down a solution, then changing your direction when a colleague provides a new piece of information. Challenge yourself to get out of your comfort zone, whether with your personal routine or trying a new system at work.

Put Yourself in the Middle of Tough Moments

Just like adapting requires you to challenge your routine and tradition, good problem-solving requires you to put yourself in challenging situations — especially ones where you don’t have relevant experience or expertise to find a solution. Because you won’t know how to tackle the problem, you’ll learn new problem-solving skills and how to navigate new challenges. Ask your manager or a peer if you can help them work on a complicated problem, and be proactive about asking them questions along the way.

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Step 1 of 3

Companies always need people to help them find solutions — especially proactive employees who have practical analytical skills and can collaborate to decide the best way to move forward. Whether or not you have experience solving problems in a professional workplace, illustrate your problem-solving skills by describing your research, analysis, and decision-making process — and make it clear that you’re the solution to the employer’s current problems. 

Image Credit: Christina Morillo / Pexels 

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How to Improve Problem Solving Skills

Last Updated: July 24, 2024 Fact Checked

This article was co-authored by Erin Conlon, PCC, JD . Erin Conlon is an Executive Life Coach, the Founder of Erin Conlon Coaching, and the host of the podcast "This is Not Advice." She specializes in aiding leaders and executives to thrive in their career and personal lives. In addition to her private coaching practice, she teaches and trains coaches and develops and revises training materials to be more diverse, equitable, and inclusive. She holds a BA in Communications and History and a JD from The University of Michigan. Erin is a Professional Certified Coach with The International Coaching Federation. There are 11 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 240,429 times.

The ability to solve problems applies to more than just mathematics homework. Analytical thinking and problem-solving skills are a part of many jobs, ranging from accounting and computer programming to detective work and even creative occupations like art, acting, and writing. While individual problems vary, there are certain general approaches to problem-solving like the one first proposed by mathematician George Polya in 1945. By following his principles of understanding the problem, devising a plan, carrying out the plan, and looking back, you can improve your problem-solving and tackle any issue systematically.

Define the problem clearly.

• Try to formulate questions. Say that as a student you have very little money and want to find an effective solution. What is at issue? Is it one of income – are you not making enough money? Is it one of over-spending? Or perhaps you have run into unexpected expenses or your financial situation has changed?

State your objective.

• Say that your problem is still money. What is your goal? Perhaps you never have enough to go out on the weekend and have fun at the movies or a club. You decide that your goal is to have more spending cash. Good! With a clear goal, you have better defined the problem.

Gather information systematically.

• To solve your money shortage, for example, you would want to get as detailed a picture of your financial situation as possible. Collect data through your latest bank statements and to talk to a bank teller. Track your earnings and spending habits in a notebook, and then create a spreadsheet or chart to show your income alongside your expenditures.

Analyze information.

• Say you have now collected all your bank statements. Look at them. When, how, and from where is your money coming? Where, when, and how are you spending it? What is the overall pattern of your finances? Do you have a net surplus or deficit? Are there any unexplained items?

Generate possible solutions.

• Your problem is a lack of money. Your goal is to have more spending cash. What are your options? Without evaluating them, come up with possible options. Perhaps you can acquire more money by getting a part-time job or by taking out a student loan. On the other hand, you might try to save by cutting your spending or by lowering other costs.
• Divide and conquer. Break the problem into smaller problems and brainstorm solutions for them separately, one by one.
• Use analogies and similarities. Try to find a resemblance with a previously solved or common problem. If you can find commonalities between your situation and one you've dealt with before, you may be able to adapt some of the solutions for use now.

Evaluate the solutions and choose.

• How can you raise money? Look at expenditures – you aren’t spending much outside of basic needs like tuition, food, and housing. Can you cut costs in other ways like finding a roommate to split rent? Can you afford to take a student loan just to have fun on the weekend? Can you spare time from your studies to work part-time?
• Each solution will produce its own set of circumstances that need evaluation. Run projections. Your money problem will require you to draw up budgets. But it will also take personal consideration. For example, can you cut back on basic things like food or housing? Are you willing to prioritize money over school or to take on debt?

Implement a solution.

• You decide to cut costs, because you were unwilling to take on debt, to divert time away from school, or to live with a roommate. You draw up a detailed budget, cutting a few dollars here and there, and commit to a month-long trial.

Review and evaluate the outcome.

• The results of your trial are mixed. On one hand, you have saved enough during the month for fun weekend activities. But there are new problems. You find that you must choose between spending cash and buying basics like food. You also need a new pair of shoes but can’t afford it, according to your budget. You may need to a different solution.

Adjust if necessary.

• After a month, you decide to abandon your first budget and to look for part-time work. You find a work-study job on campus. Making a new budget, you now have extra money without taking too much time away from your studies. You may have an effective solution.

Do regular mental exercises.

• Word games work great. In a game like “Split Words,” for example, you have to match word fragments to form words under a given theme like “philosophy.” In the game, “Tower of Babel,” you will need to memorize and then match words in a foreign language to the proper picture.
• Mathematical games will also put your problem solving to the test. Whether it be number or word problems, you will have to activate the parts of your brain that analyze information. For instance: “James is half as old now as he will be when he is 60 years older than he was six years before he was half as old as he is now. How old will James be when his age is twice what it was 10 years after he was half his current age?”

Play video games.

• Play something that will force you to think strategically or analytically. Try a puzzle game like Tetris. Or, perhaps you would rather prefer a role-playing or strategy game. In that case, something like “Civilization” or “Sim-City” might suit you better.

Take up a hobby.

• Web design, software programming, jigsaw puzzles, Sudoku, and chess are also hobbies that will force you to think strategically and systematically. Any of these will help you improve your overall problem solving.

Expert Q&A

You Might Also Like

• ↑ https://www.healthywa.wa.gov.au/Articles/N_R/Problem-solving
• ↑ https://asq.org/quality-resources/problem-solving
• ↑ https://ctb.ku.edu/en/table-of-contents/evaluate/evaluate-community-interventions/collect-analyze-data/main
• ↑ https://www.mindtools.com/pages/article/newCT_96.htm
• ↑ https://www.skillsyouneed.com/ips/problem-solving.html
• ↑ Erin Conlon, PCC, JD. Executive Life Coach. Expert Interview. 31 August 2021.
• ↑ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5930973/
• ↑ https://www.theguardian.com/lifeandstyle/2018/oct/13/mental-exercises-to-keep-your-brain-sharp
• ↑ https://www.apa.org/monitor/2014/02/video-game
• ↑ https://www.nature.com/articles/d41586-018-05449-7

About This Article

To improve your problem-solving skills, start by clearly defining the problem and your objective or goal. Next, gather as much information as you can about the problem and organize the data by rewording, condensing, or summarizing it. Then, analyze the information you've gathered, looking for important links, patterns, and relationships in the data. Finally, brainstorm possible solutions, evaluate the solutions, and choose one to implement. For tips on implementing solutions successfully, read on! Did this summary help you? Yes No

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Problem Solving

Solving problems is the core of computer science. Programmers must first understand how a human solves a problem, then understand how to translate this "algorithm" into something a computer can do, and finally, how to write the specific code to implement the solution. At its core, problem-solving focuses on the study, understanding, and usage of data structures and algorithms. 

This competency area includes basic data structures and algorithms.

Key Competencies:

• Basic Data Structures  - Use data structures such as arrays and strings. Traverse through arrays, strings, trees, and linked lists. Access and update individual elements in arrays, and characters in strings.
• Basic Algorithms (such as sorting and searching) - Create simple sorting algorithms such as bubble sort, merge sort, and counting sort. Create simple brute force and sub-optimal solutions. 

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CS2104: Introduction to Problem Solving in Computer Science

This course introduces the student to a broad range of heuristics for solving problems in a range of settings. Emphasis on problem-solving techniques that aid programmers and computer scientists. Heuristics for solving problems ''in the small'' (classical math and word problems), generating potential solutions to ''real-life'' problems encountered in the profession, and problem solving in teams.

Having successfully completed this course, the student will be able to:

• Identify skills and personality traits of successful problem solving.
• Apply standard problem-solving heuristics to aid in problem solving.
• Apply problem-solving techniques to programming activities.
• Apply problem-solving techniques to school and personal interactions.
• Apply pairs and team problem-solving techniques.
• Generate potential solutions to problems with standard heuristics.
• Formulate and successfully communicate the solutions to problems.

 Prerequisites:  MATH 1205 or MATH 1225 or MATH 1526.

Taught By:  Alexey Onufriev Dwight Barnette Layne Watson Margaret Ellis Cliff Shaffer William McQuain

How to Solve Coding Problems with a Simple Four Step Method

I had fifteen minutes left, and I knew I was going to fail.

I had spent two months studying for my first technical interview.

I thought I was prepared, but as the interview came to a close, it hit me: I had no idea how to solve coding problems.

Of all the tutorials I had taken when I was learning to code, not one of them had included an approach to solving coding problems.

I had to find a method for problem-solving—my career as a developer depended on it.

I immediately began researching methods. And I found one. In fact, what I uncovered was an invaluable strategy. It was a time-tested four-step method that was somehow under the radar in the developer ecosystem.

In this article, I’ll go over this four-step problem-solving method that you can use to start confidently solving coding problems.

Solving coding problems is not only part of the developer job interview process—it’s what a developer does all day. After all, writing code is problem-solving.

A method for solving problems

This method is from the book How to Solve It by George Pólya. It originally came out in 1945 and has sold over one million copies.

His problem-solving method has been used and taught by many programmers, from computer science professors (see Udacity’s Intro to CS course taught by professor David Evans) to modern web development teachers like Colt Steele.

Let’s walk through solving a simple coding problem using the four-step problem-solving method. This allows us to see the method in action as we learn it. We'll use JavaScript as our language of choice. Here’s the problem:

Create a function that adds together two numbers and returns that value. There are four steps to the problem-solving method:

• Understand the problem.
• Devise a plan.
• Carry out the plan.

Let’s get started with step one.

Step 1: Understand the problem.

When given a coding problem in an interview, it’s tempting to rush into coding. This is hard to avoid, especially if you have a time limit.

However, try to resist this urge. Make sure you actually understand the problem before you get started with solving it.

Read through the problem. If you’re in an interview, you could read through the problem out loud if that helps you slow down.

As you read through the problem, clarify any part of it you do not understand. If you’re in an interview, you can do this by asking your interviewer questions about the problem description. If you’re on your own, think through and/or Google parts of the question you might not understand.

This first step is vital as we often don’t take the time to fully understand the problem. When you don’t fully understand the problem, you’ll have a much harder time solving it.

To help you better understand the problem, ask yourself:

What are the inputs?

What kinds of inputs will go into this problem? In this example, the inputs are the arguments that our function will take.

Just from reading the problem description so far, we know that the inputs will be numbers. But to be more specific about what the inputs will be, we can ask:

Will the inputs always be just two numbers? What should happen if our function receives as input three numbers?

Here we could ask the interviewer for clarification, or look at the problem description further.

The coding problem might have a note saying, “You should only ever expect two inputs into the function.” If so, you know how to proceed. You can get more specific, as you’ll likely realize that you need to ask more questions on what kinds of inputs you might be receiving.

Will the inputs always be numbers? What should our function do if we receive the inputs “a” and “b”? Clarify whether or not our function will always take in numbers.

Optionally, you could write down possible inputs in a code comment to get a sense of what they’ll look like:

//inputs: 2, 4

What are the outputs?

What will this function return? In this case, the output will be one number that is the result of the two number inputs. Make sure you understand what your outputs will be.

Create some examples.

Once you have a grasp of the problem and know the possible inputs and outputs, you can start working on some concrete examples.

Examples can also be used as sanity checks to test your eventual problem. Most code challenge editors that you’ll work in (whether it’s in an interview or just using a site like Codewars or HackerRank) have examples or test cases already written for you. Even so, writing out your own examples can help you cement your understanding of the problem.

Start with a simple example or two of possible inputs and outputs. Let's return to our addition function.

Let’s call our function “add.”

What’s an example input? Example input might be:

// add(2, 3)

What is the output to this? To write the example output, we can write:

// add(2, 3) ---> 5

This indicates that our function will take in an input of 2 and 3 and return 5 as its output.

Create complex examples.

By walking through more complex examples, you can take the time to look for edge cases you might need to account for.

For example, what should we do if our inputs are strings instead of numbers? What if we have as input two strings, for example, add('a', 'b')?

Your interviewer might possibly tell you to return an error message if there are any inputs that are not numbers. If so, you can add a code comment to handle this case if it helps you remember you need to do this.

Your interviewer might also tell you to assume that your inputs will always be numbers, in which case you don’t need to write any extra code to handle this particular input edge case.

If you don’t have an interviewer and you’re just solving this problem, the problem might say what happens when you enter invalid inputs.

For example, some problems will say, “If there are zero inputs, return undefined.” For cases like this, you can optionally write a comment.

// check if there are no inputs.

// If no inputs, return undefined.

For our purposes, we’ll assume that our inputs will always be numbers. But generally, it’s good to think about edge cases.

Computer science professor Evans says to write what developers call defensive code. Think about what could go wrong and how your code could defend against possible errors.  

Before we move on to step 2, let’s summarize step 1, understand the problem:

-Read through the problem.

-What are the inputs?

-What are the outputs?

Create simple examples, then create more complex ones.

2. Devise a plan for solving the problem.

Next, devise a plan for how you’ll solve the problem. As you devise a plan, write it out in pseudocode.

Pseudocode is a plain language description of the steps in an algorithm. In other words, your pseudocode is your step-by-step plan for how to solve the problem.

Write out the steps you need to take to solve the problem. For a more complicated problem, you’d have more steps. For this problem, you could write:

// Create a sum variable.

Add the first input to the second input using the addition operator .

// Store value of both inputs into sum variable.

// Return as output the sum variable. Now you have your step-by-step plan to solve the problem. For more complex problems, professor Evans notes, “Consider systematically how a human solves the problem.” That is, forget about how your code might solve the problem for a moment, and think about how you would solve it as a human. This can help you see the steps more clearly.

3. Carry out the plan (Solve the problem!)

The next step in the problem-solving strategy is to solve the problem. Using your pseudocode as your guide, write out your actual code.

Professor Evans suggests focusing on a simple, mechanical solution. The easier and simpler your solution is, the more likely you can program it correctly.

Taking our pseudocode, we could now write this:

Professor Evans adds, remember not to prematurely optimize. That is, you might be tempted to start saying, “Wait, I’m doing this and it’s going to be inefficient code!”

First, just get out your simple, mechanical solution.

What if you can’t solve the entire problem? What if there's a part of it you still don't know how to solve?

Colt Steele gives great advice here: If you can’t solve part of the problem, ignore that hard part that’s tripping you up. Instead, focus on everything else that you can start writing.

Temporarily ignore that difficult part of the problem you don’t quite understand and write out the other parts. Once this is done, come back to the harder part.

This allows you to get at least some of the problem finished. And often, you’ll realize how to tackle that harder part of the problem once you come back to it.

Step 4: Look back over what you've done.

Once your solution is working, take the time to reflect on it and figure out how to make improvements. This might be the time you refactor your solution into a more efficient one.

As you look at your work, here are some questions Colt Steele suggests you ask yourself to figure out how you can improve your solution:

• Can you derive the result differently? What other approaches are there that are viable?
• Can you understand it at a glance? Does it make sense?
• Can you use the result or method for some other problem?
• Can you improve the performance of your solution?
• Can you think of other ways to refactor?
• How have other people solved this problem?

One way we might refactor our problem to make our code more concise: removing our variable and using an implicit return:

With step 4, your problem might never feel finished. Even great developers still write code that they later look at and want to change. These are guiding questions that can help you.

If you still have time in an interview, you can go through this step and make your solution better. If you are coding on your own, take the time to go over these steps.

When I’m practicing coding on my own, I almost always look at the solutions out there that are more elegant or effective than what I’ve come up with.

Wrapping Up

In this post, we’ve gone over the four-step problem-solving strategy for solving coding problems.

Let's review them here:

• Step 1: understand the problem.
• Step 2: create a step-by-step plan for how you’ll solve it .
• Step 3: carry out the plan and write the actual code.
• Step 4: look back and possibly refactor your solution if it could be better.

Practicing this problem-solving method has immensely helped me in my technical interviews and in my job as a developer. If you don't feel confident when it comes to solving coding problems, just remember that problem-solving is a skill that anyone can get better at with time and practice.

If you enjoyed this post, join my coding club , where we tackle coding challenges together every Sunday and support each other as we learn new technologies.

If you have feedback or questions on this post, feel free to tweet me @madisonkanna ..

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One of the most important skills you learn in your computer science courses is how to problem solve. Although we cover some general problem solving paradigms in class, the best way to improve these skills is to get practice, practice, and more practice. Different people have different techniques that work best for them; below are some general tips that work for most people.

Please read these suggestions carefully.

Questions the Helpers May Ask You

When you ask a lab helper for their assistance, they will assume you have tried to solve the problem yourself. They will (reasonably) expect that you have tried out the steps outlined in this document; you should therefore be prepared to answer the following questions:

• Did you re-read the prelab and lab?
• Do you understand the problem?
• Have you tried solving some examples by hand?
• (For problems designing a solution) What have you tried? What topic from class does this most ressemble?
• If you can’t solve the problem whole-hog, what small case can you solve?
• (For syntax errors) What line of your code is causing the error? What do you think the compile error means, and what usually causes this kind of problem?
• (For logical errors) On what example does your program consistently break? Have you traced through the program? Which line of your program is not doing what it should?

Four Main Problem Solving Steps:

1. understand the problem..

Solving the right problem is the most important part of problem solving. Be sure, absolutely 100% positively sure, that you understand the problem before attempting a solution. This involves:

• Reading the prelab and lab very carefully (including all bold text, italicized text, and everything else);
• Reviewing class notes on related topics;
• Trying some small examples to make sure you understand what is being asked; if examples are given to you, make sure you understand them before continuing, as they are usually there to help clarify some common misconceptions; and
• Asking someone to help clarify anything that is still confusing.

2. Design a Solution.

Formulate an algorithm to solve your problem. This involves:

• Understanding what is being asked of you. See step 1.
• Draw out some examples. Use paper . How would you solve these small cases, by hand? Is there a method to what you are doing? Try to formalize the steps you are taking, and try to think about whether they would work more generally, in bigger cases. Then try some bigger cases and convince yourself.
• Reread the prelab . Did you already run some examples by hand? Did you have trouble with it then?
• Write down the stuff you know about the problem and the examples you’ve tried, so that you can more easily find patterns .
• Might a recent topic from class help? Usually at least some, if not most, of the lab will make use of recently covered material . Go over that topic, make sure you understand it, then try to make connections to lab.
• Split the problem into smaller (more manageable) chunks, and try to solve the simpler problems. Go as small as you need in order to find some solution. Once you have the smaller problem solved, worry about how to generalize it to a slightly larger problem.
• Just try something , anything, even if it is completely random and obviously wrong. When/if your attempt doesn’t work, it may still give you insight into what may work. It is not as crazy as it initially sounds!
• Use a friend, lab helper, puppet, etc. as a sounding board ; sometimes, just voicing your problem will lead you to the “aha!” moment you need.
• If you are still stuck, step away from the keyboard . Take a walk, go eat dinner or have a coffee. Sleep on it. Not literally. Taking a break is sometimes the most productive thing you can do, trust me.
• Finally, stay positive . Even when things don’t work, you can still gain a better understanding of the problem. Don’t give up, just go with the flow and see where it takes you. Struggling is part of the process!

3. Implement your Solution.

Write the code to solve your problem. This involves

• Understanding the problem, and designing a solution on paper. See steps 1 and 2.
• Translating your design into actual code. Rather than doing this linearly, implement small chunks at a time. Break your code into subroutines, and make sure that each subroutine works before proceeding to the next. Compile and save often .
• If you run into syntax errors, determine which line of your code is causing the problem. You can do this by systematically commenting out blocks of code until you find the block that causes the problem.
• If you run into logical errors (as in, the program compiles but does not do what it is supposed to), find some examples on which your problem consistently fails. Trace through the program line by line, with one of these examples, to figure out exactly which line is not doing what you intend it to.
• If the output doesn’t match what you expect, use print statements to trace through what your program is doing, and compare that to what your program should be doing. Even better, if you know how to use a debugger (in eclipse, for example, use it!)

4. Check your Solution.

This step is often overlooked, but is absolutely crucial. Your program does not necessarily work because it works on the given test cases on the lab. You have to think critically about what you code. This involves

• Certainly check your program on all test cases given to you on the lab and prelab. The prelab often specifically contains hand-solved test cases precisely for this purpose!
• Thinking about the “ boundary cases ,” such as, when would this array go out of bounds? For what indices will this for loop start and end?
• Think: how would this program break ? Then, that failing: how would I convince my skeptical friend it can’t be broken?

Remember: problem solving is a creative process, which cannot be forced. Don’t get angry if you don’t see the answer right away, or you don’t see it as fast as your friend. You will have different strengths, and you can always improve. You will learn from your mistakes, so that’s always a plus!

Last updated July 3rd, 2012 by asharp

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7 Problem Solving Skills That Aren’t Just Buzzwords (+ Resume Example)

• Júlia Mlčúchova , 
• Updated April 8, 2024 9 min read

Problem-solving skills are something everybody should include on their resume, yet only a few seem to understand what these skills actually are. If you've always felt that the term "problem-solving skills" is rather vague and wanted to know more, you've come to the right place.

In this article, we're going to explain what problem-solving skills really mean. We'll talk about what makes up good problem-solving skills and give you tips on how to get better at them. You'll also find out how to make your problem-solving abilities look more impressive to those who might want to hire you.

Sounds good, right? Curious to learn more? 

In this article we’ll show you:

• What are problem solving skills;
• Why are they important; 
• Specific problem solving skills examples;
• How to develop your problem solving skills;
• And, how to showcase them on your resume.

Table of Contents

Click on a section to skip

What are problem solving skills?

Why are problem solving skills important, the best 7 problem solving skills examples, how to develop problem solving skills, problem solving skills resume example, key takeaways: problem solving skills.

First of all, they're more than just a buzzword!

Problem-solving skills are a set of specific abilities that allow you to deal with unexpected situations in the workplace, whether it be job related or team related. 

It's a complex process that involves several “sub skills” or “sub steps,” namely:

• Recognizing and identifying the issue at hand.
• Breaking the problem down into smaller parts and analyzing how they relate to one another. 
• Creating potential solutions to the problem, evaluating them and picking the best one.  
• Applying the chosen solution and assessing its outcome. 
• Learning from the whole process to deal with future problems more effectively. 

As you can see, it's not just about solving problems that are right in front of us, but also about predicting potential issues and being prepared to deal with them before they arise.  

Despite what you may believe, problem-solving skills aren't just for managers . 

Think about it this way: Why do employers hire employees in the first place? To solve problems for them!

And, as we all know, problems don't discriminate. In other words, it doesn't matter whether you're just an intern, an entry-level professional, or a seasoned veteran, you'll constantly face some kind of challenges. And the only difference is in how complex they will get.

This is also reflected in the way employers assess suitability of potential job candidates. 

In fact, research shows that the ability to deal with unexpected complications is prioritized by an overwhelming 60% of employers across all industries, making it one of the most compelling skills on your resume.

So, regardless of your job description or your career level, you're always expected to find solutions for problems, either independently or as a part of a team. 

And that's precisely what makes problem-solving skills so invaluable and universal ! 

Wondering how good is your resume?

Find out with our AI Resume Checker! Just upload your resume and see what can be improved.

As we've said before, problem-solving isn't really just one single skill. 

Instead, your ability to handle workplace issues with composure depends on several different “sub-skills”. 

So, which specific skills make an employee desirable even for the most demanding of recruiters? 

In no particular order, you should focus on these 7 skills : 

• Analytical skills
• Research skills
• Critical thinking 
• Decision-making
• Collaboration
• Having a growth mindset

Let's have a look at each of them in greater detail!

#1 Analytical skills

Firstly, to truly understand complex problems, you need to break them down into more manageable parts . Then, you observe them closely and ask yourself: “ Which parts work and which don't,” How do these parts contribute to the problem as a whole,” and "What exactly needs to be fixed?” In other words, you gather data , you study it, and compare it - all to pinpoint the cause of the issue as closely as possible.

#2 Research skills

Another priceless tool is your research skills (sometimes relying on just one source of information isn't enough). Besides, to make a truly informed decision , you'll have to dig a little deeper. Being a good researcher means looking for potential solutions to a problem in a wider context. For example: going through team reports, customer feedback, quarterly sales or current market trends.  

#3 Critical thinking

Every employer wants to hire people who can think critically. Yet, the ability to evaluate situations objectively and from different perspectives , is actually pretty hard to come by. But as long as you stay open-minded, inquisitive, and with a healthy dose of skepticism, you'll be able to assess situations based on facts and evidence more successfully. Plus, critical thinking comes in especially handy when you need to examine your own actions and processes. 

 #4 Creativity

Instead of following the old established processes that don't work anymore, you should feel comfortable thinking outside the box. The thing is, problems have a nasty habit of popping up unexpectedly and rapidly. And sometimes, you have to get creative in order to solve them fast. Especially those that have no precedence. But this requires a blend of intuition, industry knowledge, and quick thinking - a truly rare combination. 

#5 Decision-making

The analysis, research, and brainstorming are done. Now, you need to look at the possible solutions, and make the final decision (informed, of course). And not only that, you also have to stand by it ! Because once the train gets moving, there's no room for second guessing. Also, keep in mind that you need to be prepared to take responsibility for all decisions you make. That's no small feat! 

#6 Collaboration

Not every problem you encounter can be solved by yourself alone. And this is especially true when it comes to complex projects. So, being able to actively listen to your colleagues, take their ideas into account, and being respectful of their opinions enables you to solve problems together. Because every individual can offer a unique perspective and skill set. Yes, democracy is hard, but at the end of the day, it's teamwork that makes the corporate world go round. 

#7 Having a growth mindset

Let's be honest, no one wants their work to be riddled with problems. But facing constant challenges and changes is inevitable. And that can be scary! However, when you're able to see these situations as opportunities to grow instead of issues that hold you back, your problem solving skills reach new heights. And the employers know that too!

Now that we've shown you the value problem-solving skills can add to your resume, let's ask the all-important question: “How can I learn them?”

Well…you can't. At least not in the traditional sense of the word. 

Let us explain: Since problem-solving skills fall under the umbrella of soft skills , they can't be taught through formal education, unlike computer skills for example. There's no university course that you can take and graduate as a professional problem solver. 

But, just like other interpersonal skills, they can be nurtured and refined over time through practice and experience. 

Unfortunately, there's no one-size-fits-all approach, but the following tips can offer you inspiration on how to improve your problem solving skills:

• Cultivate a growth mindset. Remember what we've said before? Your attitude towards obstacles is the first step to unlocking your problem-solving potential. 
• Gain further knowledge in your specialized field. Secondly, it's a good idea to delve a little deeper into your chosen profession. Because the more you read on a subject, the easier it becomes to spot certain patterns and relations.  
• Start with small steps. Don't attack the big questions straight away — you'll only set yourself up for failure. Instead, start with more straightforward tasks and work your way up to more complex problems. 
• Break problems down into more digestible pieces. Complex issues are made up of smaller problems. And those can be further divided into even smaller problems, and so on. Until you're left with only the basics. 
• Don't settle for a single solution. Instead, keep on exploring other possible answers.
• Accept failure as a part of the learning process. Finally, don't let your failures discourage you. After all, you're bound to misstep a couple of times before you find your footing. Just keep on practicing. 

How to improve problem solving skills with online courses

While it’s true that formal education won’t turn you into a master problem solver, you can still hone your skills with courses and certifications offered by online learning platforms :

• Analytical skills. You can sharpen your analytical skills with Data Analytics Basics for Everyone from IBM provided by edX (Free); or Decision Making and Analytical Thinking: Fortune 500 provided by Udemy (＄21,74).
• Creativity. And, to unlock your inner creative mind, you can try Creative Thinking: Techniques and Tools for Success from the Imperial College London provided by Coursera (Free).
• Critical thinking. Try Introduction to Logic and Critical Thinking Specialization from Duke University provided by Coursera (Free); or Logical and Critical Thinking offered by The University of Auckland via FutureLearn.  
• Decision-making. Or, you can learn how to become more confident when it's time to make a decision with Decision-Making Strategies and Executive Decision-Making both offered by LinkedIn Learning (1 month free trial).
• Communication skills . Lastly, to improve your collaborative skills, check out Communicating for Influence and Impact online at University of Cambridge. 

The fact that everybody and their grandmothers put “ problem-solving skills ” on their CVs has turned the phrase into a cliche. 

But there's a way to incorporate these skills into your resume without sounding pretentious and empty. Below, we've prepared a mock-up resume that manages to do just that.

FYI, if you like this design, you can use the template to create your very own resume. Just click the red button and fill in your information (or let the AI do it for you).

Problem solving skills on resume example

This resume was written by our experienced resume writers specifically for this profession.

Why this example works?

• Firstly, the job description itself is neatly organized into bullet points .  
• Instead of simply listing soft skills in a skills section , you can incorporate them into the description of your work experience entry.  
• Also, the language here isn't vague . This resume puts each problem-solving skill into a real-life context by detailing specific situations and obstacles. 
• And, to highlight the impact of each skill on your previous job position, we recommend quantifying your results whenever possible. 
• Finally, starting each bullet point with an action verb (in bold) makes you look more dynamic and proactive.

To sum it all up, problem-solving skills continue gaining popularity among employers and employees alike. And for a good reason!

Because of them, you can overcome any obstacles that stand in the way of your professional life more efficiently and systematically. 

In essence, problem-solving skills refer to the ability to recognize a challenge, identify its root cause, think of possible solutions , and then implement the most effective one. 

Believing that these skills are all the same would be a serious misconception. In reality, this term encompasses a variety of different abilities , including:

In short, understanding, developing, and showcasing these skills, can greatly boost your chances at getting noticed by the hiring managers. So, don't hesitate and start working on your problem-solving skills right now!

Julia has recently joined Kickresume as a career writer. From helping people with their English to get admitted to the uni of their dreams to advising them on how to succeed in the job market. It would seem that her career is on a steadfast trajectory. Julia holds a degree in Anglophone studies from Metropolitan University in Prague, where she also resides. Apart from creative writing and languages, she takes a keen interest in literature and theatre.

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How to List Problem-Solving Skills on a Resume [List Included]

Problem-solving skills are more in-demand than ever. 

Employers love candidates with problem-solving skills because, in 99% of cases, they guarantee you're also logical, creative, clear-headed, and a great decision-maker. 

But claiming you have organizational skills on your resume is not enough. 

To impress recruiters, you've got to prove that you possess them. 

This includes understanding which problem-solving skills you possess and adding them to your resume (the right way), among other things.

This is where this article comes in! We put together everything you need to know about problem-solving skills, including: 

• 8 Essential Problem-Solving Skills for Your Resume

How to Add Problem-Solving Skills to Your Resume

• Why Are Problem-Solving Skills Important
• 6 Problem-Solving Steps

Let's dive right in! 

8 Problem-Solving Skills for Your Resume

Research shows that problem-solving skills consist of several facets : 

• Identifying and analyzing a problem
• Taking effective actions
• Understanding the effect of the decisions
• Coming up with creative and novel solutions
• Transferring knowledge from one situation to another
• Thinking abstractly about problems

As such, there is no single problem-solving skill. Problem-solving includes a set of skills, all of which are equally important in helping your personal and professional life. 

Below, we’ll cover the eight most important problem-solving skills that you can also list on your resume to impress recruiters: 

#1. Research skills

To properly identify and understand a problem, you need excellent research skills. 

Research skills involve being able to gather information from the right sources, reviewing that information in detail to extract the data you need, analyzing the data according to the context, and being able to apply the data to your situation. 

#2. Analytical skills

Analytical skills are required throughout the entire process of solving a problem. 

In a nutshell, analytical skills refer to being able to analyze a situation in depth and from different perspectives . Specifically, you need analytical skills to achieve all of the following while solving a problem:

• Detect patterns
• Interpret data
• Analyze new information
• Reach conclusions based on several factors

#3. Creativity

Being creative means being able to think outside of the box and look at situations and problems inventively. 

For most people, creativity is mainly associated with creative industries such as arts and crafts, architecture, design, etc. 

In reality, however, creativity is an essential success factor for every job and the data is here to support that. According to this Adobe study , problem-solving (51%) and creativity (47%) have gained the most value in driving salary increases in the last five years. 

When it comes to the process of solving a problem, creativity can help you consider more perspectives, think abstractly about problems, and come up with novel solutions that others haven’t thought of before.

#4. Critical thinking skills

Being able to think critically means that you’re good at rationalizing, understanding the connections between ideas or situations, and logically analyzing any given situation. 

As such, strong critical thinking skills can help you see beyond what’s at face value, make more informed decisions, and anticipate the outcomes of said decisions. 

People who have critical thinking skills share traits such as open-mindedness , cognitive flexibility , skepticism , clarity , and precision . 

#5. Decision-making skills

Before coming up with a single action plan to solve a problem, you’ll need to first brainstorm several possible solutions. 

After that, you need good decision-making skills to choose the best possible solution. Without decision-making skills, you risk prolonging finding a proper solution or aggravating a problem even more. 

#6. Communication skills

With strong communication skills , you’re able to successfully explain the problem to others and propose your solutions. In turn, you can be sure that everyone’s on the same page and that you’re carrying out the action plan accordingly. 

Some communication skills required for problem-solving include: 

• Active listening
• Written and verbal communication
• Giving and receiving feedback

#7. Collaboration

Problem-solving is rarely a process you carry out alone. More often than not, you need to consult relevant stakeholders, give and receive feedback, and work with a team towards a common goal (i.e. solving the problem).

Well, collaboration entails exactly that - working well with others, cooperatively addressing problems, and putting a group’s goal ahead of personal goals. 

Some important collaboration skills that help with problem-solving include: 

• Conflict resolution
• Emotional intelligence 

#8. Attention to Detail 

Have you ever heard of the expression “the devil’s in the details?”

It means that something may seem simple on the surface, but in fact, the details make it complicated and are likely to cause problems.

Well, if you’re someone who shows great attention to detail, you’re not likely to let details keep you from solving a problem effectively. 

Not to mention, being able to spot and understand even the smallest details that make up a problem means you’ll be able to grasp the issue in its entire complexity and come up with even more inventive and workable solutions. 

Now that we covered the most important problem-solving skills, we’ll show you how to add them to your resume so that you can stand out from other candidates. 

Let us walk you through the process, step-by-step: 

#1. Mention Your Problem-Solving Skills on Your Resume Summary

The resume summary is a three or four-sentence paragraph positioned at the top of your resume that includes: 

• Your profession and years of experience 
• Your top skills (i.e. hard skills or soft skills)
• One or two noteworthy achievements 

The goal of the resume summary is to catch the hiring manager’s attention, show them you’re a relevant candidate and get them to go through the rest of your resume in detail. 

As such, it’s your first chance to highlight your problem-solving skills effectively. You can either do that by mentioning them among your top skills or by mentioning an achievement that proves you possess a given skill.

In the best-case scenario, you can even do both. 

Here is an example of how you can include problem-solving skills in your resume summary: 

• Behavioral psychologist with 7+ years of experience in the field. Great research, analytical, and communication skills. Over the last eight years, I’ve worked closely with more than 100 patients with different behavioral disorders, helping them improve their personal and professional lives through different treatment methods. 

#2. Add the RIGHT Problem-Solving Skills Under Your Soft Skills

Secondly, you should list your problem-solving skills under your resume’s soft skills section . 

The listing part is pretty easy - simply create a section titled Skills and write down your problem-solving skills.

There is, however, one caveat: 

You don’t want to overkill your skills section by listing every problem-solving skill we covered in this article.

Not only will the hiring manager have trouble believing you possess each and every skill, but there’s also a high chance you don’t even need all those skills to begin with. 

To make your skills section as relevant as possile, do the following: 

• Check the job description. The job description can show you exactly what skills you need for the job. If you’re applying for, say, a software engineering position, you’ll probably be required to have the following problem-solving skills: analytical skills, creativity, attention to detail, and cognitive flexibility. 
• Identify the skills you possess. Think about which skills you can back up with actual experience from your previous jobs. Only list problem-solving skills that you actually possess and that you can prove you possess on your resume. 
• Add those skills under your soft skills. Then, add the problem-solving skills that you have and that are required in the job under your resume’s “Soft Skills” section. 

#3. Prove Your Problem-Solving Skills In Your Work Experience Section

Finally, you should use the work experience section to prove that you’ve got the problem-solving skills you’ve mentioned throughout your resume. 

Anyone can just claim that they’ve got problem-solving skills on their resume - not everyone can back them up with experience.

Here’s what you can do to convey that you possess problem-solving skills and also make your work experience section as impactful as possible: 

• Tailor your work experience to the job. Only add past jobs that are relevant to the position you are applying for now. If you’re applying for, say, a software engineering position, the hiring manager will be interested in your previous jobs in the field, but probably not too interested in the time you worked as a server at a restaurant. 
• Focus on your achievements instead of your responsibilities. More often than not, hiring managers know exactly what your responsibilities consisted of in previous jobs. What they want to know is how you made a positive impact with your achievements. 
• Make your achievements quantifiable. Speaking of achievements, you want to make them as quantifiable as possible. After all “treated ten patients in the course of a year using positive reinforcement” sounds much better than “treated ten patients.”
• Use the Laszlo Bock formula . If you’re having trouble phrasing your achievements, the following formula will probably be of help: “Accomplished X as measured by Y doing X.” 
• Leverage action verbs and keywords. There are hundreds of words and verbs you can use instead of “did,” “accomplished,” etc. The more descriptive you are of your achievements, the more impressive they can sound.

And here’s an example of a project manager describing their problem-solving skills in their work experience section:

• Fixed company communication issues by implementing a new project management solution. 
• Improved team productivity by implementing time-tracking software and doing daily stand-up calls.
• Managed to meet all client deliverable deadlines in 2022.

Why Are Problem-Solving Skills Important?

Are you wondering what exactly is it that makes problem-solving skills so important? 

After all, there are hundreds of soft skills out there that you can master, improve, or learn how to add to your resume. So it’s normal to wonder “why should I focus on problem-solving?” 

Here is why problem-solving skills matter:

• They can improve your employability. Problem-solving skills are among the most important skills to employers across a range of occupations. In short, employers are always looking for proactive thinkers who can address professional challenges.
• They can help you grow in your career more easily. You’ll be more likely to get promoted if you can come up with creative solutions to the different problems that you’ll face throughout your career.
• They can become an essential part of your personal brand . Your current employer, coworkers, and future employers alike will see you as someone creative, reliable, and helpful.
• They are related to a range of other valuable skills. When you prove you’re a problem solver, you’re effectively saying you’re attentive to detail, logical, creative, analytical, curious, and other things employers are looking for in their employees.

10 Jobs That Require Problem-Solving Skills

As we’ve already mentioned, problem-solving skills come in handy for practically every job. 

Whether you’re a teacher who needs to solve a dispute between peers in your class or a customer representative who needs to help a client, knowing how to go about solving issues is definitely an asset. 

That said, some jobs are all about solving problems. In such cases, problem-solving skills are not just a nice addition to have on your resume - they’re crucial to getting hired. 

Here are the top 10 jobs requiring problem-solving skills in 2024: 

• Software engineer
• Air-traffic controller
• Police officer
• Social worker
• Psychologist
• UX designer

35 Action Verbs You Can Use to Highlight Your Problem-Solving Skills

The language you use to describe your problem-solving skills matters.  

Sure, you can use “ solved” to describe how you dealt with a problem throughout your entire resume and risk coming off as repetitive and unimaginative. 

Or , you can use any of the following action verbs and keywords and make your problem-solving skills pop out in the eyes of recruiters: 

• Calculate  
• Critically think 
• Draw conclusions
• Experiment 
• Listen/Listen actively 

The Problem-Solving Process in 6 Steps

Problem-solving is a methodical process. It consists of certain steps that you always need to take if you want to find a good solution. 

The more you understand and practice this process, the better you can get at solving problems. 

Below, we cover the six main steps of problem-solving in detail:

#1. Identify the problem 

The first step to solving a problem is identifying exactly what’s causing it. 

After all, if you’re not focusing on the real underlying issue, you might come up with solutions that don’t fit the problem itself. 

Say, for example, that you’re a teacher that’s facing poor class performance. Identifying whether the problem comes from the students’ not studying enough or from your own teaching methods can make a big difference in the solutions you come up with. 

It typically happens that the faster you find the root cause of the problem, the easier it is to find a proper solution. 

#2. Understand the problem

Once you identify the problem, you’ve got to understand it completely. Here are some questions you can ask to make sure you properly understand a problem: 

• What is the scale of the problem? 
• What are its short and long-term effects? 
• Have you faced something like this before?
• Can the problem be solved by dividing it into smaller parts?

The better you understand the problem in its complexity, the more likely you are to come up with effective solutions. 

#3. Research the systems that make up the problem 

In many cases, solving a problem will be a complex undertaking. See, complex problems are often the result of several different underlying systems that you need to understand to find a dynamic solution. 

Let’s take the teacher example from above. 

If a certain student is not doing too well and keeps getting poor grades, you might be tempted to go the easy route and simply chastise them and tell them to study more.

This, in a lot of cases, might simply not work because you’re not addressing the root cause of the problem.

The student might, for example, be burned out , unmotivated by the curriculum, or simply struggling with specific topics.

A problem-solving solution that’s more likely to work would be to talk to the student (or their parents), try to understand the reason for their poor grades, and address the root cause behind the problem itself.

#4. Visualize the problem 

This may not apply to all situations, but it can definitely come in handy for most. 

Drawing a diagram to visualize the situation or your solution to the problem can help you grasp its complexity better - especially if the problem is multi-faceted. Anything from PowerPoint to a piece of white paper can be a good tool to visualize your problem, highlight the problem area, and tackle it more effectively.

#5. Brainstorm solutions 

After you’ve done all the above, it’s time to start thinking about solutions. 

This is another step of the problem-solving process that’s based on collaboration and effective communication. In the brainstorming phase, you should sit with team members or relevant stakeholders and come up with as many creative ideas and solutions as possible. 

This is not where you come up with your most refined, well-thought-out ideas. Instead, it’s where you discuss freely and combine diverse knowledge and analysis of the problem to come up with diverse solutions. 

Brainstorming is an essential part of problem-solving that can help you break out of boring or predictable ideas and thinking patterns. 

#6. Choose the best answer(s)

This is where decision-making skills come in. With a list of different potential solutions, you can narrow down your options to finally choose the best one. 

To reach a solution more easily, take the following into consideration:

• Your company’s/organization’s objectives
• The budget and the timeframe at your disposal
• The success outcomes
• Potential risks linked to the solution 

Finally, discuss your solutions with relevant stakeholders and team members to gather all the possible feedback that can help you make the best possible decision. 

And remember - once you’ve chosen the best possible solution to a problem, your work is far from over. Being a problem solver also includes the following: 

• Develop and implement an action plan
• Monitor the progress of your plan 
• Make necessary adjustments during the process
• Evaluate the outcomes of your solution 

Problem-Solving Skills Resume Example

Want a resume that makes your problem-solving skills pop like the above example? 

Use one of our tried-and-tested resume templates . 

They’re free, modern, and created in collaboration with some of the best HR professionals from around the globe!

Key Takeaways 

And that's a wrap on problem-solving skills. By now, you should know everything there is to know on the topic. 

Before you go, here are the main points we covered in this article: 

• Problem-solving skills are a set of soft skills that help you solve problems effectively. They involve critical thinking, analytical skills, creativity, communication skills, and attention to detail. 
• Problem-solving skills can improve your employability, work performance, and personal brand. 
• Add your problem-solving skills to your resume summary, under the soft skills section, and in your work history section. 
• When you’re creating your work history section, make sure to tailor it to the job, focus on your achievements and make them quantifiable, and use action verbs and keywords from the job description. 
• To get better at solving problems, follow these steps: identify and understand the problem, research the systems that make up the problem, visualize the problem, brainstorm, and choose the best possible solution. 
• Once that’s done, create an action plan and make sure to monitor its progress as you’re implementing it. 

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• How Computer Fundamentals Equip Students for Success

by Lcom Team | Sep 3, 2024 | Blogs

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Understanding the basics of computer science is no longer optional for students to be future-ready, as the world becomes increasingly reliant on digital technologies not only for careers, but for everyday life. Computer fundamentals provide the skills and knowledge that equip students with critical thinking skills, problem-solving abilities and a versatile skill set that is applicable across various fields.

How Do Computer Fundamentals Contribute to Future-Readiness in Students?

Computer fundamentals play a crucial role in preparing students for the future by providing them with essential skills that are increasingly demanded in today’s job market. Proficiency in programming languages, understanding of algorithms and familiarity with software tools are not just confined to careers in tech; they are valuable across various industries. For instance, data analysis and management are critical in fields such as healthcare, finance and marketing, where large datasets must be interpreted to make informed decisions. By mastering these computer skills, students are better equipped to enter a workforce that relies heavily on technology, giving them a competitive edge and a broader range of career opportunities.

In addition, the problem-solving mindset cultivated through computer science education enables students to approach challenges creatively and innovatively, further enhancing their ability to succeed in an ever-changing technological landscape. Here are some examples of how computer fundamentals help to create more future-ready students:

Building Critical Thinking and Problem-Solving Skills

Computer fundamentals are based in logic and structured thinking. Learning programming languages, for instance, teaches students how to break down complex problems into smaller, manageable parts—a skill known as decomposition . This process encourages critical thinking as students must analyze the problem, devise algorithms and implement solutions in a step-by-step manner.

Algorithmic thinking , another crucial aspect of computer fundamentals, enhances students’ ability to approach problems methodically. By designing and testing algorithms, students learn to anticipate potential issues and think ahead about possible solutions. These skills are not only vital in computer science but also in everyday decision-making and problem-solving.

Enhancing Academic Performance Across Disciplines

The principles learned through computer fundamentals stretch beyond technology class and into various academic subjects. For example, the logical structure and precision required in programming can improve mathematical skills. Students often find that their understanding of abstract mathematical concepts, such as functions and variables, is reinforced through coding exercises.

In the sciences, computer fundamentals enable students to utilize software tools for data analysis, simulations and modeling. Understanding how to operate these tools allows students to conduct experiments and analyze results more efficiently, leading to deeper insights and more robust scientific conclusions. In humanities and social sciences, skills like data management and statistical analysis are increasingly important, enabling students to handle large datasets and derive meaningful interpretations.

Preparing for Professional Success

Computer fundamentals are invaluable in professional applications. Almost every industry now relies on technology, and having a firm grasp of computer fundamentals can give students a competitive edge. For instance, knowledge of programming languages such as Python, Java or C++ can open doors to careers in software development, data science, cybersecurity and artificial intelligence. Even in non-technical fields, the ability to understand and leverage technology is crucial. Marketing professionals, for example, use digital tools for campaign management, data analytics, and social media strategies. Similarly, in finance, understanding algorithms and data analysis tools can significantly enhance decision-making and efficiency.

Many companies seek employees who can adapt to new technologies and platforms. A solid foundation in computer fundamentals makes it easier for individuals to learn new software, understand emerging technologies, and stay current with industry trends, making them more valuable and adaptable employees.

Fostering Innovation and Creativity

Computer science is not just about coding and algorithms; it is also a great way to foster creativity and innovation. Students who are well-versed in computer fundamentals are often better equipped to create new software, design innovative applications, and develop innovative solutions to real-world problems. This creative aspect is particularly evident in fields such as game design, multimedia production, and digital art.

For instance, creating a video game involves programming, graphic design, storytelling and user experience design—all of which require a deep understanding of computer fundamentals. Similarly, multimedia production—including video editing, animation and sound design—relies heavily on software tools and programming skills.

Encouraging Lifelong Learning

The field of computer science is constantly evolving, with new technologies and methodologies continuing to emerge. Learning computer fundamentals instills a mindset of continuous learning and curiosity. Students who start with a strong foundation in computer science can make them more likely to pursue advanced studies and stay engaged with ongoing technological advancements.

Promoting Collaboration and Communication

In addition to technical skills, computer science education often emphasizes teamwork and collaboration. Many programming projects and exercises are designed to be completed in groups, fostering a collaborative environment where students learn to communicate effectively, share ideas and solve problems together.

Effective communication is critical in a professional setting, and working on computer science projects helps students develop these skills. They learn to articulate their ideas clearly, provide constructive feedback and collaborate with others to achieve common goals. These experiences are invaluable as students transition into the workforce, where teamwork and effective communication are often key to success.

Final Thoughts

Computer science is important for equipping students with a versatile skill set that prepares them for future success. From enhancing critical thinking and problem-solving abilities to fostering creativity and promoting lifelong learning, the benefits of a solid foundation in computer science are far-reaching.

Learning.com Team

Staff Writers

Founded in 1999, Learning.com provides educators with solutions to prepare their students with critical digital skills. Our web-based curriculum for grades K-12 engages students as they learn keyboarding, online safety, applied productivity tools, computational thinking, coding and more.

Further Reading

• Defining Computational Thinking

by Lcom Team | Aug 24, 2024

Computational thinking is a problem-solving process that involves various techniques and thought processes borrowed from computer science. It...

• Supporting Texas Students in Becoming Tech-Strong: Expert Strategies

by Lcom Team | Aug 22, 2024

The rapidly evolving technological landscape means students must develop robust digital skills to thrive in future careers. Texas recognizes this...

• Algorithmic Thinking: A Critical Skill for Today’s Students

by Lcom Team | Aug 19, 2024

For many people, “algorithmic thinking” conjures visions of a Good Will Hunting whiteboard with extensive equations and symbols long forgotten in...

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• Teaching Students to Think Like Programmers | Learning.com

What Are Problem-Solving Skills? (Examples Included)

Mike Simpson 0 Comments

By Mike Simpson

Problem-solving skills are important not just for work. In the words of Karl Popper , “All life is problem-solving.”

What on earth does that mean? Simply that being alive means facing challenges. With problem-solving skills, you can navigate issues with greater ease, making hard times, well, less hard.

But what are problem-solving skills? How do you know if you have them or not? Why do they matter to your job search? And what should you do if you don’t feel yours are up to snuff? Luckily, we’re about to get into all of that.

If you’re curious about the world of problem-solving skills, here’s what you need to know.

What Are Problem-Solving Skills?

Before we dig into any examples, let’s focus first on an important question: what are problem-solving skills.

To answer that question, let’s start with the barebones basics. According to Merriam-Webster , problem-solving is “the process or act of finding a solution to a problem.” Why does that matter? Well, because it gives you insight into what problem-solving skills are.

Any skill that helps you find solutions to problems can qualify. And that means problem-solving skills aren’t just one capability, but a toolbox filled with soft skills and hard skills that come together during your time of need.

The ability to solve problems is relevant to any part of your life. Whether your writing a grocery list or dealing with a car that won’t start, you’re actually problem-solving.

The same is true at work, too. Most tasks actually involve a degree of problem-solving. Really? Really.

Think about it this way; when you’re given an assignment, you’re being asked, “Can you do this thing?” Doing that thing is the problem.

Then, you have to find a path that lets you accomplish what you need to do. That is problem-solving.

Yes, sometimes what you need to handle isn’t “challenging” in the difficulty sense. But that doesn’t mean it doesn’t count.

Besides, some of what you need to do will legitimately be hard. Maybe you’re given a new responsibility, or something goes wrong during a project. When that happens, you’ll have to navigate unfamiliar territory, gather new information, and think outside of the box. That’s problem-solving, too.

That’s why hiring managers favor candidates with problem-solving skills. They make you more effective in your role, increasing the odds that you can find solutions whenever the need arises.

How Are Problem-Solving Skills Relevant to a Job Search?

Alright, you probably have a good idea of what problem-solving skills are. Now, it’s time to talk about why they matter to your job search.

We’ve already touched on one major point: hiring managers prefer candidates with strong problem-solving skills. That alone makes these capabilities a relevant part of the equation. If you don’t show the hiring manager you’ve got what it takes to excel, you may struggle to land a position.

But that isn’t the only reason these skills matter. Problem-solving skills can help you during the entire job search process. After all, what’s a job search but a problem – or a series of problems – that needs an answer.

You need a new job; that’s the core problem you’re solving. But every step is its own unique challenge. Finding an opening that matches your skills, creating a resume that resonates with the hiring manager, nailing the interview, and negotiating a salary … those are all smaller problems that are part of the bigger one.

So, problem-solving skills really are at the core of the job search experience. By having strong capabilities in this area, you may find a new position faster than you’d expect.

Okay, you may be thinking, “If hiring managers prefer candidates with problem-solving skills, which ones are they after? Are certain problem-solving capabilities more important today? Is there something I should be going out of my way to showcase?”

While any related skills are worth highlighting, some may get you further than others. Analysis, research, creativity, collaboration , organization, and decision-making are all biggies. With those skills, you can work through the entire problem-solving process, making them worthwhile additions to your resume.

But that doesn’t mean you have to focus there solely. Don’t shy away from showcasing everything you bring to the table. That way, if a particular hiring manager is looking for a certain capability, you’re more likely to tap on what they’re after.

How to Highlight Problem-Solving Skills for Job Search

At this point, it’s ridiculously clear that problem-solving skills are valuable in the eyes of hiring managers. So, how do you show them that you’ve got all of the capabilities they are after? By using the right approach.

When you’re writing your resume or cover letter , your best bet is to highlight achievements that let you put your problem-solving skills to work. That way, you can “show” the hiring manager you have what it takes.

Showing is always better than telling. Anyone can write down, “I have awesome problem-solving skills.” The thing is, that doesn’t really prove that you do. With a great example, you offer up some context, and that makes a difference.

How do you decide on which skills to highlight on your resume or cover letter? By having a great strategy. With the Tailoring Method , it’s all about relevancy. The technique helps you identify skills that matter to that particular hiring manager, allowing you to speak directly to their needs.

Plus, you can use the Tailoring Method when you answer job interview questions . With that approach, you’re making sure those responses are on-point, too.

But when do you talk about your problem-solving capabilities during an interview? Well, there’s a good chance you’ll get asked problem-solving interview questions during your meeting. Take a look at those to see the kinds of questions that are perfect for mentioning these skills.

However, you don’t have to stop there. If you’re asked about your greatest achievement or your strengths, those could be opportunities, too. Nearly any open-ended question could be the right time to discuss those skills, so keep that in mind as you practice for your interview.

How to Develop Problem-Solving Skills If You Don’t Have Them

Developing problem-solving skills may seem a bit tricky on the surface, especially if you think you don’t have them. The thing is, it doesn’t actually have to be hard. You simply need to use the right strategy.

First, understand that you probably do have problem-solving skills; you simply may not have realized it. After all, life is full of challenges that you have to tackle, so there’s a good chance you’ve developed some abilities along the way.

Now, let’s reframe the question and focus on how to improve your problem-solving skills. Here’s how to go about it.

Understand the Problem-Solving Process

In many cases, problem-solving is all about the process. You:

• Identify the problem
• Analyze the key elements
• Look for potential solutions
• Examine the options for viability and risk
• Decide on an approach
• Review the outcome for lessons

By understanding the core process, you can apply it more effectively. That way, when you encounter an issue, you’ll know how to approach it, increasing the odds you’ll handle the situation effectively.

Try Puzzles and Games

Any activity that lets you take the steps listed above could help you hone your problem-solving skills. For example, brainteasers, puzzles, and logic-based games can be great places to start.

Whether it’s something as straightforward – but nonetheless challenging – as Sudoku or a Rubik’s Cube, or something as complex as Settlers of Catan, it puts your problem-solving skills to work. Plus, if you enjoy the activity, it makes skill-building fun, making it a win-win.

Look for Daily Opportunities

If you’re looking for a practical approach, you’re in luck. You can also look at the various challenges you face during the day and think about how to overcome them.

For example, if you always experience a mid-day energy slump that hurts your productivity, take a deep dive into that problem. Define what’s happening, think about why it occurs, consider various solutions, pick one to try, and analyze the results.

By using the problem-solving approach more often in your life, you’ll develop those skills further and make using these capabilities a habit. Plus, you may find ways to improve your day-to-day living, which is a nice bonus.

Volunteer for “Stretch” Projects

If you’re currently employed, volunteering for projects that push you slightly outside of your comfort zone can help you develop problem-solving skills, too. You’ll encounter the unknown and have to think outside of the box, both of which can boost critical problem-solving-related skills.

Plus, you may gain other capabilities along the way, like experience with new technologies or tools. That makes the project an even bigger career booster, which is pretty awesome.

List of Problem-Solving Skills

Alright, we’ve taken a pretty deep dive into what problem-solving skills are. Now, it’s time for some problem-solving skills examples.

As we mentioned above, there are a ton of capabilities and traits that can support better problem-solving. By understanding what they are, you can showcase the right abilities during your job search.

So, without further ado, here is a quick list of problem-solving skill examples:

• Collaboration
• Organization
• Decision-Making
• Troubleshooting
• Self-Reliance
• Self-Motivation
• Communication
• Attention to Detail
• Brainstorming
• Forecasting
• Active Listening
• Accountability
• Open-Mindedness
• Critical Thinking
• Flexibility

Do you have to showcase all of those skills during your job search individually? No, not necessarily. Instead, you want to highlight a range of capabilities based on what the hiring manager is after. If you’re using the Tailoring Method, you’ll know which ones need to make their way into your resume, cover letter, and interview answers.

Now, are there other skills that support problem-solving? Yes, there certainly can be.

Essentially any skill that helps you go from the problem to the solution can, in its own right, be a problem-solving skill.

All of the skills above can be part of the equation. But, if you have another capability that helps you flourish when you encounter an obstacle, it can count, too.

Reflect on your past experience and consider how you’ve navigated challenges in the past. If a particular skill helped you do that, then it’s worth highlighting during a job search.

If you would like to find out more about skills to put on a resume , we’ve taken a close look at the topic before. Along with problem-solving skills, we dig into a variety of other areas, helping you choose what to highlight so that you can increase your odds of landing your perfect job.

Putting It All Together

Ultimately, problem-solving skills are essential for professionals in any kind of field. By honing your capabilities and showcasing them during your job search, you can become a stronger candidate and employee. In the end, that’s all good stuff, making it easier for you to keep your career on track today, tomorrow, and well into the future.

Co-Founder and CEO of TheInterviewGuys.com. Mike is a job interview and career expert and the head writer at TheInterviewGuys.com.

His advice and insights have been shared and featured by publications such as Forbes , Entrepreneur , CNBC and more as well as educational institutions such as the University of Michigan , Penn State , Northeastern and others.

Learn more about The Interview Guys on our About Us page .

About The Author

Mike simpson.

Co-Founder and CEO of TheInterviewGuys.com. Mike is a job interview and career expert and the head writer at TheInterviewGuys.com. His advice and insights have been shared and featured by publications such as Forbes , Entrepreneur , CNBC and more as well as educational institutions such as the University of Michigan , Penn State , Northeastern and others. Learn more about The Interview Guys on our About Us page .

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The Top 5 Problem-Solving Skills Employers Want In 2024

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Problem-solving is one of the top resume skills that employers believe will grow in importance over the next five years (and beyond), according to the Future of Jobs report by the World Economic Forum.

“Research in the past few years points to problem-solving skills as being crucial to business success. Many employers now put these ahead of technical skills,” says John Kleeman , founder of the online assessment platform Questionmark.

What does this mean for you, the job seeker?

It means that it’s more important than ever to show employers that you can identify and solve problems quickly and efficiently, whether you’re applying to an entry-level job or a senior executive position.

Table of Contents

What are problem-solving skills, why are problem-solving skills important, how to highlight problem-solving skills on a resume, how to highlight problem-solving skills in a job interview, how to develop and improve your problem-solving skills.

Use Jobscan’s free ATS-friendly resume templates and start building your resume that gets noticed by recruiters!

Problem-solving is a complex skill. It involves critical thinking , decision-making, creativity, and information processing.

Effective problem-solvers use a systematic approach that allows them to break down difficult problems into smaller, more manageable parts. 

In its simplest form, problem-solving involves three basic steps:

Step 1 – Identify the problem. This may seem obvious, but it is important to take the time to really understand what the problem is before trying to solve it. 

This can involve talking to people who are affected by the problem, doing research, or consulting experts in the field.

Step 2 – Generate a list of possible solutions. Consider how effective each solution would be and whether or not it is feasible to implement. 

Once you have narrowed down the list of possible solutions, you can then start testing out the most promising ones.

Step 3 – Implement the solution . This step also includes determining what resources are needed to put the solution into action, such as money, personnel, or technology. 

Ultimately, the goal is to come up with the most effective, practical solution that will address both the immediate issue and any underlying causes. 

By following these three steps, you should be able to easily identify and solve problems quickly and efficiently!

The top 5 problem-solving skills to put on your resume

Employees who have good problem-solving skills are vital for the successful functioning of any business.

But what specific skills are employers looking for?

Here are five of the most important problem-solving skills that businesses want their employees to have.

1) Creativity

“ Problems are nothing but wake-up calls for creativity. ” –Gerhard Gschwandtner

Creativity allows us to examine a problem from multiple perspectives, use outside-the-box thinking, and come up with innovative solutions. 

By embracing creativity, we open ourselves up to new possibilities and make our problem-solving efforts more effective.

How to use creativity in the workplace

• Create processes to improve workflow and reduce costs.
• Brainstorm ideas to develop new products or services for a company.
• Develop strategies to increase customer loyalty and satisfaction.
• Leverage technology to create more efficient processes and systems.
• Analyze data to identify trends and opportunities for improvement.

2) Research

“ Research is formalized curiosity. It is poking and prying with a purpose .”  – Zora Neale Hurston

Research skills are essential when resolving complex problems.

Only by gathering and analyzing data from multiple sources can we begin to assess the problem and determine the most appropriate solutions accurately. 

How to use research in the workplace

• Identify new markets or customer segments to target.
• Gather information about competitors and their products/services.
• Stay up to date on industry news and developments.
• Evaluate potential partners, vendors, or products before purchasing.
• Analyze past performance in order to make projections for the future.

3) Communication

“ Good communication is just as stimulating as black coffee, and just as hard to sleep after .”    -Anne Morrow Lindbergh

Once you’ve identified a potential solution to a problem, you need to be able to explain it clearly to others. 

This involves both verbal and written communication , as well as the ability to listen carefully and understand the perspective of others.

How to communicate in the workplace

• Clarify goals and make sure that everyone is on the same page. 
• Resolve conflicts quickly and efficiently.
• Promote collaboration among team members by fostering trust and respect.
• Allow employees to exchange feedback regularly.
• Provide recognition and appreciation to team members. 

4) Teamwork

“ Alone we can do so little; together we can do so much .” – Helen Keller

Being able to work on a team is an important skill that contributes to effective problem-solving.

When team members work together to tackle complex issues, the best solutions are often found because each individual has a unique perspective and skill set that can contribute to solving the problem.

How to be a team player in the workplace

• Foster an environment of open communication, feedback, and growth.
• Utilize the strengths of individual team members to achieve a common goal.
• Develop trust, respect, and camaraderie among team members.
• Promote a culture of accountability and ownership for projects.
• Encourage creativity, risk-taking, and an atmosphere of experimentation.

5) Decision Making

“ You cannot make progress without making decisions. ”    – Jim Rohn

It’s important to be able to identify problems and analyze possible solutions. Still, at some point, you need to make a decision . 

Good decision-makers focus on solving the problem rather than wasting time analyzing all of the available data or endlessly debating which option is best.

How to make decisions in the workplace

• Use feedback constructively to make better decisions in the future.
• Take risks when necessary while being aware of the potential consequences.
• Learn from mistakes and use data to develop better solutions.
• Demonstrate confidence and decisiveness when making difficult choices.
• Analyze situations based on facts and data, not assumptions or emotions.

Problem-solving is considered a soft skill, or “people” skill. 

Soft skills are personal attributes that can be transferred from one job to another and help employees interact more effectively with others in the workplace.

For example, in addition to problem-solving, soft skills include time management , empathy, teamwork, flexibility, and having a positive attitude. 

In today’s rapidly changing world, soft skills have become more valuable than ever to employers.

“When we look at today’s workforce,” says Eric Frazer , the author of The Psychology of Top Talent , “there’s definitely been a shift away from just having what I would call ‘tacit knowledge’ and ‘tacit skills’…meaning, you’re just good at what you do.” Instead, “There is a deeper understanding that people have to come first, before performance.” 

Problem-solving skills are crucial to the success of any business. Employees face problems every day. How they deal with them can mean the difference between success and failure.

If you can learn to identify and solve problems quickly and effectively, you’ll be an invaluable asset to your team.

It’s essential to highlight your problem-solving skills when writing your resume. Remember, employers are specifically looking for them!

Here are a few things you can do to make your problem-solving skills stand out more:

1. Use action verbs

When describing your skills on a resume, try to use catchy, memorable language that packs a punch. 

In particular, try to use action verbs . These are words that describe “doing” – like “riding” a bike or “walking” to school. 

The best action words to use on your resume are those that are descriptive and specific . These will paint a more vivid picture of your skills and experience. 

For example, instead of writing “ helped solve problems,” you could write “ identified and solved critical issues.”

Other phrases that use strong action verbs are:

• Developed creative solutions to complex problems.
• Researched and implemented best practices for problem prevention.
• Streamlined processes to reduce errors and increase efficiency.

2. Quantify your accomplishments

It’s one thing to say you have strong problem-solving skills, but it’s even better to back it up with hard numbers . 

Whenever possible on your resume, include metrics that show just how effective you are at solving problems. For example, “reduced customer complaints by 30%.”

Here are some other ways to show off numbers: 

• Managed a budget of $200,000 and reduced expenses by 10%.
• Achieved a 95% success rate in meeting objectives.
• Resolved an average of 100 customer complaints per month.

3. Describe your research skills

Research skills play a key role in solving problems. If you’re good at conducting research and finding relevant information, make sure to include that on your resume. 

For example, an office manager could say they “utilized extensive research skills to investigate new methods for streamlining inventory management.”

Here are some more examples:

• Compiled statistical data for reports and analysis.
• Analyzed research findings to develop creative solutions.
• Routinely updated databases with new information.

4. Highlight your creativity

There are many problems that cannot be solved with conventional methods. 

If you’re the type of person who is good at thinking outside the box and coming up with creative solutions, make sure to mention that on your resume. 

For example, you might say, “suggested new approaches to customer service that increased customer satisfaction.”

More examples include:

• Resolved a long-standing issue with our website’s design by implementing a new coding solution. 
• Generated fresh ideas for product development and marketing campaigns.
• Turned a failing project around by coming up with a solution that no one else had thought of.

5. Emphasize your collaboration skills

In many cases, problems can’t be solved by one person working alone. 

If you’re good at collaborating with others and working as part of a team, that’s something you should try to highlight on your resume. 

For example, a you could highlight your financial analyst skills by saying you “worked cross-functionally to launch an annual industry report.”

Other examples include:

• Brought together stakeholders with different objectives and helped them find common ground.
• Helped resolved misunderstandings between departments, resulting in a 30% increase in sales.
• Facilitated weekly team meetings to ensure consistent communication and successful completion of tasks.

When interviewers ask about your problem-solving skills, they are looking for specific examples of how you have identified and solved problems in the past. 

These problem-solving examples could be from work, from your studies, or even taken from your personal life!

Here are some tips on how to highlight your problem-solving skills in a job interview:

1. Describe your process

When describing how you solved a problem, be sure to include all the steps you took in your explanation. This will show the interviewer that you are systematic and thorough in your approach.

For example, you can highlight your account manager skills by saying something like: 

“I began by analyzing our current sales figures and identifying where we were losing customers. I then looked at our marketing strategy and identified areas where we could improve. Finally, I implemented a new marketing strategy and monitored the results closely. This led to a significant increase in sales within six months.”

2. Use problem-solving skills in the interview itself

Some interviewers will ask you to solve a problem on the spot as part of the interview process. This is usually done to assess your analytical and critical thinking skills. 

For example, someone applying for a job as a business analyst may be asked to review a company’s financial reports and identify areas of concern.

When solving problems in an interview, be sure to think out loud so the interviewer can understand your thought process. 

If you’re not sure of the answer, don’t be afraid to say so. This shows that you’re willing to admit when you don’t know something and are willing to learn.

3. Make connections to responsibilities included in the new job

Be sure to highlight how your problem-solving skills will be relevant to the responsibilities of the position you’re applying for. 

For example, if you’re applying for a job as a restaurant server, you might talk about a time when you had to diffuse a difficult customer situation.

If you make connections between your past experiences and the new job, it shows the interviewer that you’re qualified for the position and that you’re excited about the opportunity to use your skills in a new way.

4. Use specific examples and data

When describing how you used your problem-solving skills in the past, mention specific examples and support your claims with data.

This makes your story more convincing and shows that you’re not just making things up.

For example, if you’re claiming that you increased sales, be sure to back it up with sales reports, graphs, or even customer testimonials.

Improving your problem-solving skills can open up a variety of different career opportunities.

Here are some things you can do to strengthen your problem-solving abilities:

1. Be proactive

The first step to solving any problem is to recognize that it exists! 

This might seem obvious, but many people choose to ignore problems instead of facing them head-on.

Pay attention to the things that are going wrong in your life and work, and don’t sweep them under the rug.

2. Break down big problems into smaller ones

When you’re faced with a big problem, it can be overwhelming. But if you break the problem down into smaller pieces, it will be much easier to solve.

For example, let’s say you’re trying to lose weight. This is a big goal, but it can be broken down into smaller goals, like eating healthy meals and exercising regularly. 

Once you have a plan for each of these smaller goals, you’ll be one step closer to solving the bigger problem.

3. Be open-minded

Being open-minded means that you’re willing to consider all possible solutions, even if they’re not what you were originally thinking.

If you’re closed-minded, you might miss out on the best solution to the problem. So don’t be afraid to try something new.

4. Be persistent

Persistence is another important quality for problem-solvers. If you give up at the first sign of trouble, you’ll never find a solution.

When you’re facing a difficult problem, it’s important to keep trying different things until you find a solution that works. 

Don’t give up, and eventually, you’ll find the answer you’re looking for!

5. Ask for help

If you’re having trouble solving a problem, don’t be afraid to ask for help. There’s no shame in admitting that you need assistance.

There are many people who are happy to help others solve their problems. So reach out to your friends, family, or even a professional if you need some guidance.

Developing better problem-solving skills can take some time and effort, but it’s worth it!

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Computer Science (Artificial Intelligence) (Industrial) MEng, BSc

Year of entry 2025, open days 2024.

Bookings for our October 2024 Open Days are now open. Book now

Course overview

Artificial intelligence is one of the fastest developing areas of computer science. It is being used in exciting new ways to enhance and evolve computer games, web search, biometric systems and many other areas. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities.

Developments in artificial intelligence are radically changing the way that we interact with each other, process data and make decisions. From commerce to healthcare, from agritech to government – innovators in computer science and artificial intelligence and are often at the forefront of new technological developments and already creating the solutions of tomorrow.

Successful computer scientists are not only skilled programmers, but they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists and artificial intelligence specialists are in demand in a variety of sectors.

Studying a computer science with artificial intelligence degree at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this fast-changing field. Alongside technical skills such as algorithm design, problem solving and practical programming, you'll develop a raft of vital workplace skills such as collaborative working and project management, as well as studying specialist artificial intelligence topics such as machine learning, deep learning, text analytics and their applications in areas from vision to automated reasoning.

You’ll also be taught in our brand new, purpose-built hub for students and academics – the  Sir William Henry Bragg Building  – which is home to leading research and specialist teaching facilities here on campus.

If you want to be challenged, to work in multidisciplinary teams, solve global and emerging challenges and have a portable and highly sought-after skill set then studying computer science is a great option. The topics you’ll study reflect the latest developments in computer science, equipping you with the key knowledge, skills and experience you need to begin your career in this highly valued profession.

Industrial placement year

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course. Our close industry links give you the platform to apply to a number of major organisations such as Apple, Microsoft and Amazon.

Why study at Leeds:

• Our  globally-renowned research  feeds directly into your course, shaping your learning with the latest thinking in areas such as algorithms and complexity, artificial intelligence, computational science and engineering, biomedicine & health and distributed systems and services.
• Enhance your career prospects and give your CV that competitive edge before you graduate with a paid industrial placement year.
• Experience expert teaching delivered by a programme team made up of academics and researchers who specialise in a variety of computing areas.
• Access excellent  facilities  including two custom-built teaching laboratories containing high-specification Linux machines and a range of collaborative and quiet study spaces.
• Make the most of your time at Leeds by joining  CompSoc , where you can meet like-minded peers and enjoy a variety of social, professional and academic events including Hackathons, community outreach and professional networking. CompSoc also hosts sports teams and academic support groups.

Benefits of an integrated Masters

Learn more about what an integrated Masters is and how it can benefit your studies and boost your career.

Accreditation

British Computing Society (BCS)

Accreditation is the assurance that a university course meets the quality standards established by the profession for which it prepares its students.

The School of Computing at Leeds has a successful history of delivering courses accredited by the British Computing Society (BCS). This means our computer science courses have consistently met the quality standards set by the British Computer Society (BCS).

As we are reviewing our curriculum, we are currently seeking reaccreditation from the BCS for accreditation of full Chartered IT Professional (CITP) and Chartered Engineer (CEng).

Course details

In this course, you'll develop industrially relevant skills which will aid you in a successful career of your choosing. You'll gain a fundamental understanding of computer hardware, software engineering and the underpinnings of mathematical principles. Alongside, you'll also have opportunities to develop critical thinking and creative skills that'll transfer into your career once you graduate.

Throughout this course, we work closely with you to develop personalised learning plans to ensure you are progressing towards the goal of becoming an outstanding computer science graduate ready to apply your skills.

This course will develop you into a well-rounded computer scientist with an awareness of the global challenges and opportunities available to you, ready for a challenging and rewarding career and equipped to continue learning to stay at the cutting edge of developments.

You'll study computing ethics as part of your course. This is taught using real-life case studies, with input from specialist ethicists as well as your tutors and lecturers. The team responsible for the ethics taught in computing has produced educational material used to stimulate debate in class about topics such as ethical hacking, open-source software and the use of personal data.

Each academic year, you'll take a total of 120 credits.

The course structure shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

For more information and a full list of typical modules available on this course, please read Computer Science (Artificial Intelligence) (Industrial) MEng, BSc in the course catalogue

Years 1 and 2

You'll learn about the core topics in computer science and how they can be applied in a variety of real-world scenarios. Through topics covered in years 1 and 2, you'll develop into a holistic computer scientist capable of problem identification, solution design, consideration of impact, implementation and evaluation. You'll develop an understanding of sustainability in computing and appreciate how your professional behaviour can help to develop a more equitable future for all. You'll work collaboratively with your fellow students in group projects and will have an opportunity to share your knowledge and experiences with students in different years.

Year 1 compulsory modules

Programming – 40 credits

Programming involves the systematic design, development, testing and maintenance of computer programs and applications, utilising programming languages, algorithms and structured methodologies to create efficient and reliable software solutions.

Covering foundational programming skills, data structures, algorithms and data modelling, you’ll acquire the fundamental knowledge needed to construct efficient and well-structured software. Through hands-on exercises and theoretical instruction, the module cultivates proficiency in programming practices, algorithmic thinking and the systematic design of software solutions, laying the groundwork for a deeper understanding of software engineering principles essential for your future career.

Building our Digital World: Computer Systems and Architecture – 40 credits

A computer system is a combination of hardware and software components that work together to process data, perform tasks and execute programs. This module introduces the foundations and intricacies of computer systems, covering fundamental aspects such as hardware architecture, networking principles and operating systems.

This module provides a comprehensive understanding of how computers function at both the hardware and software levels. Through theoretical concepts and practical applications, you’ll develop proficiency in assembling and troubleshooting computer systems. Furthermore, the module introduces key networking principles, enabling you to comprehend data transmission and connectivity. The module introduces computer system design from an engineering viewpoint, exploring topics of security, reliability and general performance.

Theoretical Foundations of Computer Science I – 40 credits

Computer science, at its foundation, is a mathematical and engineering discipline. This module lays the foundation of the mathematical and theoretical concepts in computer science. This module equips you with a set of core knowledge and skills that will enable you to view real-world problems algorithmically and apply rigorous mathematical approaches to solve them.

Year 2 compulsory modules

Software Engineering – 40 credits

Software engineering involves the systematic design, development, testing and maintenance of computer programs and applications, utilising programming languages, algorithms and structured methodologies to create efficient and reliable software solutions.

This module establishes the fundamental principles of a systematic approach to software engineering. Through hands-on experiences, you’ll gain proficiency in contemporary software engineering practices whilst also developing an understanding of the subject. This module fosters practical experiences in engineering analysis and design, shedding light on the societal impact of engineering. It serves as a cornerstone, equipping you with the knowledge and skills necessary for a successful career in the dynamic field of computer science.

Beyond the Core: Advanced Hardware, Operating Systems and Parallelism – 40 credits

Explore in more depth the foundations and intricacies of computer systems, focusing on the role of the operating system, network applications and network protocol.

This module explores the purpose and role of operating systems and networks, allowing you to attribute feature and design decisions to performance and security characteristics. Throughout the module, emphasis is placed on the integration of operating systems and networking concepts, preparing you to navigate the landscape of contemporary IT environments.

Theoretical Foundations of Computer Science II – 40 credits

Build on the foundations of mathematical and theoretical concepts in computer science to develop the ideas into more complex application domains. You’ll further develop techniques and transferable skills in areas like problem solving that will help you tackle real-world challenges, applying mathematical approaches to solve them.

In your third year, you'll complete an individual project showcasing your accumulated skills and knowledge. You'll work with a member of academic staff to define, refine and complete a project related to your interests. You'll also study professionalism, innovation and enterprise ensuring you are well equipped to enter the workplace or continue your journey in education.

In year 3, you also have an opportunity to branch out and shape your learning journey by selecting from our advanced topics modules in subjects such as computer graphics, artificial intelligence, high-performance computing, algorithms and complexity and distributed systems.

If you decide to leave after this year, you’ll graduate with a Computer Science BSc degree.

Compulsory modules

Professional Innovation and Enterprise – 20 credits

Gain a holistic understanding of professional conduct, legal considerations and ethical practices in the tech industry. You’ll be equipped with vital commercial awareness and insights into professional issues, preparing you for successful integration into the workforce. With an emphasis on ethical decision making and legal responsibilities, you’ll gain a nuanced understanding of the broader implications of your work, fostering a well-rounded approach to your roles as a future computing professional.

Individual Project – 40 credits

This individual project is the culmination of three years of computer science studies and provides the opportunity for you to demonstrate a mastery of the subject. You’ll engage in a comprehensive exploration of engineering analysis and design, honing your skills in problem formulation, solution development and critical evaluation. This module emphasises the practical application of computer science theories to solve complex, contemporary issues, fostering creativity and independent thinking.

You’ll focus on a chosen problem, employing rigorous research methodologies and leveraging engineering techniques to propose innovative solutions.

Artificial Intelligence – 20 credits

Build hands-on experience with the design, implementation and evaluation of artificial intelligence systems, together with the underpinning theory. The module is divided into several topics addressing key areas of artificial intelligence. The topics will reflect research strengths in the School and prepare you to embark on projects within the artificial intelligence domain.

Optional modules

Please note: The modules listed below are indicative of typical options.

High Performance Computing – 20 credits

Take a comprehensive look at the architecture, storage and programming models integral to the world of advanced computing.

You’ll cover both homogeneous and heterogeneous computing systems and explore developments in both hardware and modern programming schemes to program shared and distributed CPU, GPGPU and other accelerators.

The module will also cover the role of high-performance computing in various application domains.

Computer Graphics – 20 credits

People interact with graphics daily. Computer graphics technology is ubiquitous in the modern world and is at the heart of computer games and film production. It is also extensively used in engineering, medicine and sciences.

This module covers the core concepts of rendering. It starts with techniques to manipulate and create images and then moves on to techniques behind 3D graphics. It explains modern graphics APIs and how programmers can use these to interface with today's very powerful GPUs.

You’ll build a small real-time 3D application from scratch as part of the module, allowing you to showcase your abilities.

Fundamental Algorithms for Scientific Computing – 20 credits

Explore a selection of important classical and modern algorithms in scientific computing. You'll work in groups through structured tasks to develop solutions incrementally approaching state-of-the-art implementations, simultaneously developing an appreciation of their power and efficacy.

Distributed Systems – 20 credits

This module provides a comprehensive overview of the principles and practices underlying the design and implementation of distributed computing systems. Explore the fundamentals of distributed systems architecture, cloud computing models and contemporary platforms/frameworks. You’ll gain insights into the challenges and solutions associated with distributed computing, preparing you to design scalable, resilient and efficient applications in today's dynamic computing landscape. This module equips you with the knowledge to navigate the complexities of distributed systems and leverage cutting-edge technologies for seamless integration and interoperation.

Cyber Physical Systems – 20 credits

Learn the engineering concepts underlying cyber-physical systems as a technology and as a subject of study. The module is focused on modelling, design and analysis of cyber-physical systems, which integrate computation, networking and physical processes.

Algorithms and Complexity – 20 credits

There are practically important computational problems that can be solved in principle, but there are no efficient algorithms known. This intractability is formalised in the theory of NP-completeness. To cope with such problems in practice, we have to compromise. This module considers two approaches – fixed parameter algorithms and approximation algorithms.

Compilers Design and Optimisation – 20 credits

Explore the art and science of building compilers and enhancing program efficiency. This module provides a comprehensive understanding of compiler design principles and explores optimisation techniques. You’ll embark on a hands-on journey, constructing a compiler from the ground up. Through practical projects and theoretical insights, participants master the intricacies of translating high-level programming languages into executable code, while also implementing strategies to optimise the performance of the generated programs. By the end of this module, you’ll be equipped with essential skills for software development and system optimisation.

You’ll have the opportunity to apply to spend a year in industry. A work placement is an invaluable opportunity to transfer your learning into a practical setting, applying the knowledge and skills you’ve been taught throughout your degree to real-world challenges – in a working environment. It’s important to note, work placements are not guaranteed.

In year 5, you’ll deepen your understanding of artificial intelligence techniques. You'll learn about deep learning, machine learning, knowledge representation and reasoning, robotics, computer vision and text analytics.

You’ll also complete a group project in the area of artificial intelligence. Working as part of a small team you'll be paired with an academic to tackle a problem related to your interests and the School of Computing’s research expertise. You'll also complete a research skills/seminar module where you'll develop your skills to engage with cutting edge academic literature.

Group Project – 45 credits

You'll work as part of a group to define a problem and explore a solution. Emphasising teamwork, the module guides you through the development of a collective software project. You’ll engage in planning, coding and project management, gaining practical experience in a real-world, team-based setting. This module enhances problem-solving abilities, communication and project coordination within the context of computer science applications.

Research Seminar – 15 credits

In this research-informed module, you'll embark on an intellectual journey, cultivating research skills and critical thinking. This module fosters an environment where you can engage with cutting-edge topics, explore research methodologies and contribute to scholarly discussions. Through interactive seminars, you’ll refine your ability to critically evaluate existing literature, formulate research questions and design methodologically sound studies. This module nurtures a vibrant research community, with emphasis on collaboration and peer feedback throughout.

This means, once you’ve completed the module, you’ll emerge with enhanced research skills, ready to contribute meaningfully to the ongoing discourse within your respective academic fields.

Machine Learning – 15 credits

This module covers the principal algorithms used in machine learning using a combination of practical and theoretical sessions. You’ll explore current approaches and gain an understanding of their capabilities and limitations, before evaluating the performance of machine learning algorithms. You’ll also use existing implementations of machine learning algorithms to explore data sets and build models.

Deep Learning – 15 credits

Discover the field of deep learning through a strongly integrative and state-of-the-art approach. In line with the use of AI in key sectors (e.g. finance, health, law), there is an emphasis on the combination of multiple input modalities – specifically combining images, text and structured data. You’ll gain hands-on experience in developing systems to address real-world problems and gain the knowledge and skills necessary to develop an AI system.

Knowledge Representation and Reasoning – 15 credits

Explore the logical foundations of knowledge representation, including key properties of formal systems such as soundness, completeness, expressiveness and tractability. You’ll also learn how to use an automated reasoning tool software tool, build an understanding in automated reasoning and discover how an Ontology can be used within an information system.

Autonomous Systems and Robotics – 15 credits

Explore artificial intelligence concepts, algorithms and methods that can be used by autonomous robots to control behaviour and sense their environment. You'll develop a theoretical understanding of fundamental concepts, as well as practical implementation of algorithms and methods on robot systems.

Data Science – 15 credits

Develop an understanding in the methods of analysis used to gain insights from complex data. The module covers the theoretical basis of a variety of approaches, placed into a practical context using different application domains.

Bio-inspired Computing – 15 credits

This module teaches you how to implement bio-inspired algorithms to solve a range of problems. You’ll design and apply simple genetic algorithms, as well as interpreting the behaviour of algorithms based on the cooperative behaviour of distributed agents with no, or little, central control.

You’ll also consider examples of cooperative phenomena in nature and the concepts of emergence and self-organisation.

Data Mining and Text Analytics – 15 credits

Throughout this module, you’ll become familiar with the linguistic theory and terminology of empirical modelling of natural language and the main text mining and analytics application areas. You’ll learn how to use algorithms, resources and techniques for implementing and evaluating text mining and analytics systems. You’ll also develop solutions using open-source and commercial toolkits.

Project work

You'll develop your commercial and industrial awareness by completing real-world problem-solving project work , building up a portfolio of work to demonstrate your knowledge and skills in analysis, communication and teamwork to prospective employers.

Learning and teaching

In the School of Computing, you'll be part of a large and welcoming learning community where academic staff and your fellow students work collaboratively together. Our expert academic staff bring a wealth of industrial and research experience meaning you'll have awareness of the forefront of developments when you graduate.

You'll be joining a diverse community of computer scientists from a range of backgrounds, where you'll be encouraged to share your experiences with and to learn from others in order to develop a university culture where our differences are our strengths. Our research feeds directly into our teaching, meaning you'll learn about the very latest developments in your subject while gaining the knowledge and skills to meet the needs of your graduate job.

To help you benefit from our expertise, you'll be engaged in a mix of lectures, tutorials, seminars and practical labs, complemented by online learning resources and project-based learning. This mix of activities will develop you into a flexible and agile learner, suitable for keeping up with the fast pace of development in graduate careers. The approach is inclusive by design, and you'll be supported to develop the skills to best benefit from each type of activity.

Our personal tutorial system will provide you with academic and pastoral support. You'll be assigned to an academic personal tutor who will mentor you throughout your studies at Leeds. Everyone will have a different set of experience, interests and motivations for studying the subject, and your personal tutor will help you to understand what these are and how you can best leverage your experiences to make the most of your time at Leeds.

Specialist facilities

You’ll study in the Sir William Henry Bragg Building which offers a wealth of facilities to support your learning. It has two custom-built teaching laboratories containing high-specification Linux machines – sufficient to complete all work asked of you on our programmes. In addition, the Sir William Henry Bragg Building houses our state-of-the-art research laboratories which are used by our internationally leading researchers and postgraduate students – and are available to students as part of their final year individual project.

There's also a number of social and collaborative study spaces which are available for you to use whenever the building is open. Whether you require a quiet place to work, or you thrive being in a busy stimulating environment there is a space suitable for you.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

You'll be assessed using a variety of methods which are chosen to emulate real-life tasks or activities you are likely to encounter in a graduate career. This may include time-constrained assessments, laboratory practicals, reports, problem-solving worksheets, projects and presentations.

Where possible, assessment is designed to be contemporary with recent events and developments in computer science – making them interesting and relevant.

We use summative assessment, which contributes to your degree outcome, as well as formative assessment, which does not contribute to your degree outcome but provides an indication of performance. This combination allows you to become comfortable with the style of assessment and allows us to provide targeted additional support where it is required. Your work will be assessed by a member of academic staff who’ll provide feedback on what you did well, areas of improvement and stretch goals. This feedback may be in written or verbal form.

Our assessment approach is designed to be inclusive by default, however, we also make reasonable adjustments where required.

Entry requirements

A-level: AAA including Mathematics.

Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.

Excludes A-level General Studies or Critical Thinking.

GCSE: English Language at grade C (4) or above, or an appropriate English language qualification. We will accept Level 2 Functional Skills English in lieu of GCSE English.

Extended Project Qualification and International Project Qualification: Whilst we recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, we do not currently include them as part of our offer-making. We do, however, encourage you to provide further information on your project in your personal statement.

Alternative qualification

Access to he diploma.

Pass 60 credits overall with 45 credits at Level 3, 30 credits with Distinction (including an appropriate number of Mathematics modules) and the remaining 15 credits with Merit or above.

D*D*D with Distinctions in all Mathematics units. Mathematics units must include Further Mathematics. This unit may be optional on your BTEC but is it required by the Faculty.

Cambridge Pre-U

D3, D3, D3 including Mathematics.

International Baccalaureate

18 points at Higher level to include 5 in HL Mathematics: Analysis and Approaches or 6 in HL Mathematics: Applications and Interpretation.

Irish Leaving Certificate (higher Level)

H1 H2 H2 H2 H2 H2, including Mathematics.

Scottish Highers / Advanced Highers

AA at Advanced Higher level, including Mathematics, and AABBB at Higher level.

Other Qualifications

IT or Engineering Diploma: A (plus A or above in Mathematics A-level).

Read more about UK and Republic of Ireland accepted qualifications or contact the School’s Undergraduate Admissions Team.

Alternative entry

We’re committed to identifying the best possible applicants, regardless of personal circumstances or background.

Access to Leeds is a contextual admissions scheme which accepts applications from individuals who might be from low income households, in the first generation of their immediate family to apply to higher education, or have had their studies disrupted.

Find out more about Access to Leeds and contextual admissions .

Typical Access to Leeds offer:  ABB, including an A in Mathematics.

International

We accept a range of international equivalent qualifications . For more information, please contact the Admissions Team .

International Foundation Year

International students who do not meet the academic requirements for undergraduate study may be able to study the University of Leeds International Foundation Year. This gives you the opportunity to study on campus, be taught by University of Leeds academics and progress onto a wide range of Leeds undergraduate courses. Find out more about International Foundation Year programmes.

English language requirements

IELTS 6.0 overall, with no less than 5.5 in each section. For other English qualifications, read English language equivalent qualifications .

Improve your English If you're an international student and you don't meet the English language requirements for this programme, you may be able to study our undergraduate pre-sessional English course , to help improve your English language level.

UK: To be confirmed

International: £32,250 (per year)

Tuition fees for UK undergraduate students starting in 2024/25 Tuition fees for UK full-time undergraduate students are set by the UK Government and will be £9,250 for students starting in 2024/25.

The fee may increase in future years of your course in line with inflation only, as a consequence of future changes in Government legislation and as permitted by law.

Tuition fees for UK undergraduate students starting in 2025/26 Tuition fees for UK full-time undergraduate students starting in 2025/26 have not yet been confirmed by the UK government. When the fee is available we will update individual course pages.

Tuition fees for international undergraduate students starting in 2024/25 and 2025/26 Tuition fees for international students for 2024/25 are available on individual course pages. Fees for students starting in 2025/26 will be available from September 2024.

Tuition fees for a study abroad or work placement year If you take a study abroad or work placement year, you’ll pay a reduced tuition fee during this period. For more information, see Study abroad and work placement tuition fees and loans .

Read more about paying fees and charges .

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more on our living costs and budgeting page .

Scholarships and financial support

If you have the talent and drive, we want you to be able to study with us, whatever your financial circumstances. There is help for students in the form of loans and non-repayable grants from the University and from the government. Find out more in our  Undergraduate funding overview .

Scholarships

Apply to this course and check the deadline for applications through the UCAS website .

We may consider applications submitted after the deadline. Availability of courses in UCAS Extra will be detailed on UCAS at the appropriate stage in the cycle.

Admissions guidance

Read our admissions guidance about applying and writing your personal statement.

What happens after you’ve applied

You can keep up to date with the progress of your application through UCAS.

UCAS will notify you when we make a decision on your application. If you receive an offer, you can inform us of your decision to accept or decline your place through UCAS.

How long will it take to receive a decision

We typically receive a high number of applications to our courses. For applications submitted by the January UCAS deadline, UCAS asks universities to make decisions by mid-May at the latest.

Offer holder events

If you receive an offer from us, you’ll be invited to an offer holder event. This event is more in-depth than an open day. It gives you the chance to learn more about your course and get your questions answered by academic staff and students. Plus, you can explore our campus, facilities and accommodation.

International applicants

International students apply through UCAS in the same way as UK students.

We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Read about visas, immigration and other information here .

If you’re unsure about the application process, contact the admissions team for help.

Admissions policy

University of Leeds Admissions Policy 2025

This course is taught by

School of Computer Science

School of Computer Science Undergraduate Admissions

Email: [email protected] Telephone:

Career opportunities

There’s a wealth of excellent job opportunities for graduate computer scientists – making it easy for you to choose your ideal career.

Our graduates are sought-after for their technical knowledge, industrial and commercial awareness, independence and proactiveness. Plus, University of Leeds students are among the top 5 most targeted by top employers according to  The Graduate Market 2024, High Fliers Research .

From start-ups to international organisations and non-governmental organisations, the computing industry is always looking for computer science graduates to realise the next opportunity.

Our graduates find employment across a range of sectors including:

• Non-governmental organisations
• Government agencies
• Consultancies
• Finance (& Finance Technologies)
• Public Authority
• Research & Development

Careers support

At Leeds, we help you to prepare for your future from day one. Through the School of Computing’s extensive set of industrial contacts, you'll have the opportunity to network with local, national and international companies. The School has close links with regional employers who focus their recruitment efforts on the School.

Our  Leeds for Life  initiative is designed to help you develop and demonstrate the skills and experience you need for when you graduate. We will help you to access opportunities across the University and record your key achievements so you are able to articulate them clearly and confidently.

You'll be supported throughout your studies by our dedicated Employability Team, who will provide you with specialist support and advice to help you find relevant work experience, internships and industrial placements, as well as graduate positions. You’ll benefit from timetabled employability sessions, support during internships and placements, and presentations and workshops delivered by employers.

Explore more about your employability opportunities at the University of Leeds.

Watch our Employability Team video

You'll also have full access to the  University’s Careers Centre , which is one of the largest in the country.

Study abroad and work placements

Study abroad.

This degree does not offer the option to study abroad. However, the Computer Science (Artificial Intelligence) MEng, BSc degree does have this option.

Work placements

This programme gives you the opportunity to undertake a paid industrial placement year as part of the course.

It’s important to note, work placements are not guaranteed. The job market is competitive – and there may be competition for the placement you want. You’ll have to apply the same way you would for any job post, with your CV and, if successful, attend an interview with the organisation.

Our Employability Team will help you every step of the way. They run a number of placement sessions to discuss opportunities and support you with CV writing and interview preparations. Plus, they’ll be there to answer any questions you may have and offer guidance throughout the process, too.

Benefits of a work placement year:

• 100+ organisations to choose from, both in the UK and overseas
• Build industry contacts within your chosen field
• Our close industry links mean you’ll be in direct contact with potential employers
• Advance your experience and skills by putting the course teachings into practice
• Gain invaluable insight into working as a professional in this industry
• Improve your employability

Here are some examples of placements our students have recently completed:

• GlaxoSmithKline Research & Development
• UK Research & Innovation

Find out more about  Industrial placements .

Related courses

Computer science bsc, computer science meng, bsc, computer science (artificial intelligence) meng, bsc, computer science (industrial) meng, bsc, rankings and awards, 82nd in the world.

QS World University Rankings 2025

Student profile: Mark Muinde

If you want to be the best in your career path, you have to learn from the best. Mark Muinde, Computer Science (Artificial Intelligence) MEng, BSc

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PROBLEM OF THE DAY : 27/07/2024 | Form a Palindrome

Welcome to the daily solving of our PROBLEM OF THE DAY with Karan Mashru We will discuss the entire problem step-by-step and work towards developing an optimized solution. This will not only help you brush up on your concepts of Dynamic Programming but also build up problem-solving skills.  Given a string, find the minimum number of characters to be inserted to convert it to a palindrome.  

Input: str = "abcd" Output: 3 Explanation: Inserted character marked with bold characters in dcb abcd, here we need minimum three characters to make it palindrome.

Give the problem a try before going through the video. All the best!!! Problem Link: https://practice.geeksforgeeks.org/problems/form-a-palindrome1455/1

The Best Soft Skills Training Strategies to Boost Team Performance

Soft skills are key non-technical abilities like leadership, communication, teamwork, and problem-solving. Investing in soft skills training for your team can lead to better collaboration, employee satisfaction, and productivity.

Soft skills are key non-technical abilities like leadership, communication, teamwork, and problem-solving. These skills are crucial for enhancing workplace relationships and improving overall team performance.

While these skills may come naturally to some individuals, offering soft skills training on an organizational level can give employees and the overall business an edge. Investing in soft skills training for your team can lead to better collaboration, employee satisfaction, and productivity.

This article explores effective soft skills training strategies to boost your team’s performance. Looking for more tactics? Read our e-book: Top 3 Soft Skills Your Employees Need In the New World of Work .

Key Takeaways

• Soft skills are non-technical abilities such as communication, teamwork, problem-solving, and emotional intelligence, which are essential for enhancing workplace relationships and overall performance.
• On an organizational level, investing in soft skills training is key for improving business outcomes.
• Effective and engaging methods for teaching soft skills include role-playing exercises, story-based learning, and gamification.
• To implement successful soft skills training programs, be sure to assess skill gaps, select appropriate delivery methods, and leverage technology appropriately.

What is soft skills training?

Soft skills training is designed to develop essential non-technical abilities like:

• Communication
• Problem-solving
• Leadership 
• Emotional intelligence

These skills are vital for building stronger workplace relationships and boosting collaboration. Unlike hard skills, which are specific to certain job functions and can be easily measured through exams or certifications, soft skills are more personal and often harder to quantify.

However, just because soft skills are hard to quantify doesn’t mean they can’t be developed. Employees’ personal and professional growth relies on an organization’s investment in soft skills training programs.

When effectively leveraged, this type of training can help individuals improve their social interactions, adaptability, and behavior, which in turn enhances their overall performance. In fact, soft skills significantly contribute to career success, accounting for roughly 85% of an individual’s achievement over their career span.

Developing soft skills is an ongoing process that involves continuous effort, experience, practice, and self-reflection. It’s about cultivating transferable abilities across various roles and industries, making them some of the most valuable assets in today’s workforce.

Differentiating soft skills from hard skills

Before discussing key soft skills strategies for your organization, it’s important to understand the differences between soft skills and hard skills.

Hard skills, also known as technical skills, are job-related competencies that are often a prerequisite for employment in certain fields. They’re critical for performing specific job functions and can be acquired through degrees, courses, or on-the-job training. Examples of hard skills, also known as technical skills, include graphic design, data analysis, and search engine optimization.

However, hard skills alone are not enough to ensure success in the workplace. This is where soft skills come into play. Unlike hard skills, soft skills are non-technical and relate to interactions and work performance. They include personal qualities and traits like teamwork, adaptability, and emotional intelligence, all of which impact how individuals work and collaborate with others.

Interestingly, when soft skills are effectively developed, they can help employees apply and prove their hard skills even more powerfully. They can also improve the strength of an overall team and organization by boosting collaborative potential.

What are the benefits of soft skills training?

Soft skills training programs offer numerous benefits with the power to transform individual performance and overall organizational success. Notably, these programs can greatly improve employee performance. For example, one study found that a 12-month soft skills training program across five factories improved return on investment by roughly 250 percent .

Another key benefit of soft skills training is its ability to improve interpersonal relationships. This, in turn, leads to better teamwork and a stronger sense of community within the workplace. When employees communicate effectively and empathize with one another, it creates a more positive work environment and enhances collaboration. This can even lead to benefits such as improved employee retention, as participants feel more valued and motivated in their roles.

Soft skills training is particularly crucial for specific industries and job functions, especially those that interact with customers regularly. By training employees to respond empathetically in their communication, businesses can improve the strength of their customer service and respond to customer needs more effectively. This can improve brand reputation and lead to increased customer loyalty and satisfaction.

3 essential soft skills to develop

Now, let’s focus on three crucial soft skills: communication, collaboration, and time management. Each plays a pivotal role in ensuring efficient operations, effective teamwork, and a positive work culture.

1. Communication skills

Effective communication is the cornerstone of successful teamwork and client relations. Strong communication skills enable employees to:

• Interact efficiently with clients, partners, and each other
• Build rapport
• Practice active listening skills
• Speak confidently and concisely
• Provide constructive feedback more effectively

Bolstering interpersonal communication in these ways can also lead to increased client satisfaction and loyalty. Being able to deliver information clearly and concisely can help keep things clear, expedite conversations, and resolve potential conflicts.

Presentation skills are another vital aspect of communication, involving the ability to:

• Deliver information in a structured and engaging manner
• Use visual aids effectively to enhance an audience’s understanding
• Adapt the presentation style to suit the audience’s needs and preferences

With opportunities to polish their presentation skills, employees can communicate more effectively—both within their teams and with external stakeholders.

2. Teamwork and collaboration

Like communication skills, strong collaboration skills are essential for effective teamwork, innovation, and achieving collective goals. Teamwork skills allow employees to gain insight into their strengths and weaknesses within a team, and provide an opportunity to improve communication with others for better outcomes.

Collaboration skills also involve:

• The ability to take accountability for errors, and communicate any plans for resolving them
• Conflict mediation skills
• A shared commitment to working in a group
• The ability to foster creativity and innovation

3. Time management

Efficient time management is crucial for meeting deadlines, avoiding stress, and enhancing reliability. Good time management skills help individuals prioritize tasks, allocate time effectively, and maintain a positive approach to challenges, thereby increasing efficiency.

One helpful technique for improving time management skills is time blocking, which involves allocating specific blocks of time for different tasks. This approach can help employees stay focused, avoid procrastination, and ensure that all tasks are completed on time, ultimately improving personal productivity and overall team performance.

Because it is often impacted by external factors, time management can be one of the most challenging to train on. However, fostering a work culture where employees receive training to learn to prioritize tasks, set boundaries, and manage their time more efficiently can pay dividends in the long run.

Effective methods for teaching soft skills

Effective soft skills training requires an engaging approach encouraging active participation and real-world application. Below, we’ll cover three of the most effective methods: role-playing exercises, story-based learning, and gamification.

Role-playing exercises

Role-playing exercises allow employees to participate in scenarios to practice and enhance specific soft skills. These exercises help employees understand different perspectives and improve their problem-solving abilities by working through realistic workplace situations.

Scenarios used in role-playing can be tailored to address specific challenges employees face in their roles, providing immediate feedback and opportunities for improvement. For example, a customer service team might act out common scenarios from the perspective of both the service agent and the client to form a deeper understanding of how these interactions might play out.

Using role-playing in e-learning can be a very effective way to work through scenarios with employees at scale. With the right e-learning software, you can set up simulations and branching logic to help employees understand cause and effect while also aiding in knowledge retention.

Story-based learning

Story-based learning uses narratives or storytelling methods to convey essential lessons and concepts. This can be a highly valuable tool in soft skills training. By reflecting on their personal experiences or envisioning scenarios with fictional characters, employees can extract valuable insights and apply them to real-life situations.

Narratives in story-based learning often mirror the challenges of the job, making lessons more relatable and memorable. This method helps illustrate the consequences of different actions and decisions, enhancing employees’ critical thinking and problem-solving abilities.

Gamification

To make your soft skills courses more engaging and motivating, try incorporating game design elements like point scoring, leaderboards, and rewards. These gamification elements encourage participation and make the training experience more enjoyable for participants.

Interactive games can simulate real-life scenarios your employees might encounter, allowing them to practice and refine their soft skills in a controlled, low-risk environment. Be sure to offer opportunities for constructive feedback in your gamified training to allow participants to hone their skills over time.

How to implement soft skills training programs

To implement a soft skills program effectively and at scale, it’s important to follow a framework. Below, we’ll cover the key steps to doing so, including assessing skill gaps, choosing the right delivery method, and promoting continuous learning and feedback.

By following these steps, you can ensure that your training is tailored to meet the specific needs of your organization and employees.

1. Assess skill gaps

Identifying existing skill gaps among employees is a crucial first step for tailoring training programs efficiently. Organizations can pinpoint opportunities for soft skills development by speaking with employees at all levels and consulting with managers.

Assessing skill gaps helps ensure that your training addresses specific needs and enhances your team’s overall performance. This is essential for creating targeted and impactful training programs.

2. Choose the right delivery method

To ensure your employees can effectively engage with and retain material, it’s key to select the appropriate delivery method for your soft skills training. This may vary depending on the needs of your organization or team.

For example, you may want to create a dedicated soft skills course that allows employees to access training regularly in bite-size chunks without interfering with their day-to-day work. You can also use micro-learning, which breaks down training into small and actionable segments, to allow for immediate application of soft skills.

3. Encourage continuous learning and feedback

Encouraging regular feedback and self-reflection helps employees identify areas for improvement and fosters a learning mindset. This culture of continual learning is essential for addressing mistakes and setting new goals.

Utilizing an e-learning platform like Articulate 360 can help you provide consistent and personalized learning experiences with opportunities for feedback.

Leveraging technology in soft skills training

Technology—specifically online learning platforms—is a key way to enhance the accessibility and effectiveness of soft skills training. These platforms provide flexible and engaging training environments that can be tailored to meet the specific needs of employees.

Below, we’ll explore how platforms like Articulate 360 can be used to develop soft skills.

E-learning platforms for soft skill development

When it comes to soft skills training, e-learning platforms offer the following benefits:

• Access to training regardless of an employee’s geographical location or time constraints
• Interactive multimedia modules for an engaging learning experience
• Videos for visual and auditory learning
• Multi-device access

These platforms provide learners with a flexible and convenient way to develop their soft skills, making it easier for employees to fit training into their schedules.

Articulate 360 capabilities

Articulate 360, the leading e-learning platform, offers a platform designed to help you create engaging, interactive courses tailored to specific soft skills. Some key capabilities include:

• Engaging learner experiences : Articulate 360 lets you build interactive, effective, and engaging sales training that can include branching scenarios, interactive activities, knowledge checks, and a wide range of assessments.
• Intuitive authoring for ALL course creators : With Articulate 360’s intuitive UI and integrated AI Assistant, you and your cross-functional collaborators can easily create effective sales training to boost sales performance.
• Quizzes and knowledge checks : Provide your learners with immediate feedback, helping them identify areas for improvement and track their progress.
• Helpful Templates: Get a head start on course creation with a library of templates on key sales topics such as prospecting, pipeline management, objection handling, and deal negotiation.
• Seamless collaboration and reviews: Collaborate on course creation by inviting colleagues to create and edit content, improving the quality of your sales training. Collect and approve in-context feedback, simplifying and accelerating the entire course review and approval process.

By leveraging the capabilities of platforms like Articulate 360, organizations can ensure continuous development and a more dynamic approach to soft skills training.

Measuring the impact of soft skills training

To ensure the effectiveness of your soft skills training, b e sure to close the loop by evaluating its impact. This can be done through performance metrics, employee feedback, and observed behavioral changes. Pre- and post-assessments can gauge initial and post-training performance levels, providing a clear picture of the training’s impact.

You can also provide employees with opportunities for self-assessment, peer feedback, and supervisor feedback, or track improvements in key areas like productivity, collaboration, and communication after training. Including 360-degree feedback allows for assessment from multiple perspectives, ensuring a comprehensive evaluation.

Evaluation methods for soft skills training programs include:

• Knowledge checks and quiz results from online training programs
• Surveys to gather subjective insights into the effectiveness of the training
• Observing real-life applications of the skills learned
• Assessing knowledge retention rates to measure the long-term impact of the training

These evaluation methods help organizations refine and improve their soft skills training programs by utilizing various soft skills training methods.

Real-life examples of successful soft skills training

Real-life soft skills training examples can provide valuable insights into the implementation and positive results of soft skills training programs. For instance, Google’s Project Oxygen program demonstrated that managers who effectively communicated and supported employee well-being were key to maintaining high-performing teams.

IBM’s Leadership Development Program focuses on enhancing soft skills such as emotional intelligence, collaboration, and communication among its leaders.

Zappos invested in training programs prioritizing customer service skills, which enhanced employee communication and problem-solving abilities, leading to higher customer satisfaction. These case studies highlight the common benefits of soft skills training programs, such as:

• Improved communication
• Better leadership
• Enhanced problem-solving abilities
• Increased employee engagement and satisfaction.

The impact of employee soft skills training

Investing in soft skills training programs is essential for enhancing employee performance, fostering better workplace relationships, and driving overall organizational success. By understanding the key benefits, differentiating between soft and hard skills, and focusing on developing essential soft skills like communication, teamwork, and time management, organizations can create a more dynamic and effective workforce.

Looking for more strategies to improve employee soft skills? Read our e-book: Top 3 Soft Skills Your Employees Need In the New World of Work .

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We are seeking a highly motivated and talented AI Intern to join our dynamic team. As an intern, you will have the opportunity to work closely with our functional and technical professionals and contribute to the development, testing and delivery of various AI projects.

We are seeking interns with understanding of machine learning (specifically, exploratory knowledge in Generative AI) to build cloud native AI applications. This internship will provide you with valuable hands-on experience in the field of AI and a chance to develop your skills in a real-world setting.

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More From Forbes

How to prove you're a good leader on your cv.

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In the competitive job market, showcasing leadership skills on your CV can set you apart as a senior professional, and understanding how to present your leadership qualities effectively can make a significant difference.

Here’s 5 ways you can prove you're a good leader on your CV.

Highlight leadership roles and achievements

To demonstrate your leadership capabilities, it's essential to highlight specific roles where you have led teams or projects.

Begin by identifying positions where you held leadership responsibilities and describe your achievements in these roles.

For instance, instead of simply stating that you were a "Project Manager", elaborate on your accomplishments such as "Led a cross-functional team of 15 in delivering a £2 million project on time and within budget."

Use quantifiable metrics to substantiate your achievements, showcasing the tangible impact of your leadership. Mention awards or recognitions received for your leadership, as these serve as external validations of your capabilities.

Emphasising your leadership roles and achievements provides concrete evidence of your ability to lead effectively.

Demonstrate effective communication

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Effective communication is a cornerstone of good leadership.

On your CV, illustrate how your communication skills have contributed to successful outcomes. This could be through examples of presentations to stakeholders, leading meetings, or managing conflict within your team.

Describe situations where your clear and concise communication facilitated project success or improved team dynamics. For example, "Presented quarterly business updates to the executive board, resulting in the approval of a £500,000 budget increase."

Highlighting your ability to convey ideas clearly and persuasively can reassure potential employers of your competence in managing and inspiring teams.

Additionally, showcasing any public speaking engagements or published articles can further underline your strong communication skills.

It’s also beneficial to note any multilingual abilities, as these can be advantageous in global or multicultural settings.

Proving you're a good leader on your CV involves more than just listing your job titles.

Showcase problem-solving and decision-making abilities

Leadership often involves making tough decisions and solving complex problems.

To illustrate these skills, include examples where your problem-solving and decision-making abilities have led to successful outcomes.

Describe scenarios where you identified issues, analysed options, and implemented effective solutions. For instance, "Resolved a major supply chain issue by developing a new logistics strategy, reducing delivery times by 20%."

This not only demonstrates your analytical skills but also your capacity to remain calm and decisive under pressure.

Providing specific examples of challenges faced and the strategies you employed to overcome them can vividly portray your problem-solving prowess and strategic thinking.

Additionally, emphasising your involvement in strategic planning sessions or your role in crisis management can further bolster your leadership credentials.

Provide evidence of team building and mentoring

A key aspect of leadership is the ability to build and nurture effective teams.

Highlight instances where you have successfully mentored colleagues or fostered a collaborative team environment.

Mention any structured mentoring programmes you initiated or participated in, and the positive outcomes of these efforts. For example, "Mentored five junior analysts, all of whom were promoted within a year due to improved performance."

Discuss how your leadership contributed to team success, such as improving morale, increasing productivity, or facilitating professional development.

Emphasising your role in team building and mentoring can demonstrate your commitment to developing others and your ability to lead by example.

Don’t forget to mention any team-building activities or initiatives you spearheaded that resulted in improved team cohesion and performance.

Emphasise adaptability and resilience

In today's dynamic work environment, adaptability and resilience are crucial leadership traits, and you should use your CV to showcase how you have navigated change and overcome adversity.

Provide examples of how you adapted to new challenges, whether through leading organisational change, managing crises, or transitioning to new technologies. For instance, "Led the transition to remote work during the pandemic, ensuring seamless operations and maintaining team productivity."

Highlighting your ability to remain resilient and effective in the face of setbacks can reassure potential employers of your capacity to handle future challenges.

Demonstrating adaptability and resilience underscores your preparedness to lead in an ever-evolving professional landscape.

Additionally, showcasing your continuous learning efforts, such as new certifications or skills acquired during challenging times, can further illustrate your proactive approach to leadership.

Proving you're a good leader on your CV involves more than just listing your job titles. It's about detailing your leadership experiences, showcasing your communication prowess, demonstrating your problem-solving skills, highlighting your team-building efforts, and emphasising your adaptability and resilience.

By weaving these elements into your CV, you can present a compelling narrative that portrays you as an effective and dynamic leader, ready to take on senior professional roles with confidence.

Remember, your CV is not just a document but a powerful tool to market yourself and your leadership capabilities to potential employers, and the next step to your dream role.

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PowerPoint A3 Problem-Solving and Process Templates

By Lulu Richter | August 29, 2024

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We’ve gathered the most useful problem-solving and presentation-enhancing A3 templates in PowerPoint.

Included in this article, you’ll find the following:

• Basic A3 report template
• A3 project problem-solving template
• A3 strategy template
• A3 status report template

PowerPoint A3 Problem-Solving Template

Download the A3 Problem-Solving Template for PowerPoint

When to Use This Template: Choose this A3 slide template when you want to perform a thorough, detailed analysis. This template is suitable for project management, continuous process and product improvement , quality management, and other problem-solving scenarios.

Notable Template Features: This template includes a fishbone diagram for root cause analysis and sections for defining the problem statement , identifying solutions, implementing actions, and evaluating results. The template provides a structured layout that is adaptable to various contexts.

PowerPoint Basic A3 Report Template

Download the Basic A3 Report Template for PowerPoint

When to Use This Template: Use this basic A3 template when you want a streamlined format that covers the essential elements of an A3 report. Add text or images to create a customized template.

Notable Template Features: This template includes three slides: a blank A3 template, an example A3 template with content related to improving warehouse inventory accuracy, and an FAQ slide.

PowerPoint A3 Project Problem-Solving Template

Download the A3 Project Problem-Solving Template for PowerPoint

When to Use This Template: Add visual interest to presentations with this A3 project problem-solving template.

Notable Template Features: This template emphasizes the plan-do-check-act (PDCA) cycle and uses color to highlight each section. The simple layout engages viewers and provides just enough space for adding key details.

PowerPoint A3 Strategy Template

Download the A3 Strategy Template for PowerPoint

When to Use This Template: Use this A3 template to communicate high-level strategic planning and long-term objectives.

Notable Template Features: This template focuses on strategic planning and includes an implementation plan spanning multiple years, plus sections for a current state analysis, a future state vision, long-term goals, and key success metrics. 

PowerPoint A3 Status Report Template

Download the A3 Status Report Template for PowerPoint

When to Use This Template: Use this A3 project status report template to track progress and plan upcoming actions.

Notable Template Features: This template provides sections for a project overview, a summary of planned-versus-actual project status, performance metrics, key milestones, and next steps. A color-coded status column gives viewers at-a-glance updates on milestone performance. 

PowerPoint A3 DMAIC Template

Download the A3 DMAIC Template for PowerPoint

When to Use This Template: Use this A3 template for Six Sigma projects when you’re applying the DMAIC methodology to improve processes and solve problems.

Notable Template Features: This template is structured around the DMAIC phases: define, measure, analyze, improve, and control. Each section includes prompts for information to include. Enter your project details to create a comprehensive DMAIC slide template that mirrors the traditional A3 layout.

For related tools, see this collection of Lean Six Sigma templates and this guide to Lean process improvement .

PowerPoint A3 Root Cause Analysis Template

Download the A3 Root Cause Analysis Template for PowerPoint

When to Use This Template: This template focuses on problem solving and action planning. Use the template to present a strong business case for resolving an issue, to identify underlying causes, and to propose solutions.

Notable Template Features: This template includes space for listing team members or other stakeholders, a tabular action plan for entering owners and dates for each activity, and a follow-up section for evaluating results and sustaining success.

For more options, see this selection of A3 templates in multiple formats, including an A3 proposal template, a Lean A3 DMAIC template with Gantt chart, and more.

Improve Your Problem-Solving and Process Skills with PowerPoint A3 Problem-Solving and Process Templates from Smartsheet

From simple task management and project planning to complex resource and portfolio management, Smartsheet helps you improve collaboration and increase work velocity -- empowering you to get more done. 

The Smartsheet platform makes it easy to plan, capture, manage, and report on work from anywhere, helping your team be more effective and get more done. Report on key metrics and get real-time visibility into work as it happens with roll-up reports, dashboards, and automated workflows built to keep your team connected and informed.

When teams have clarity into the work getting done, there’s no telling how much more they can accomplish in the same amount of time. Try Smartsheet for free, today.

Discover a better way to streamline workflows and eliminate silos for good.

Proceedings of the 9th Mathematics, Science, and Computer Science Education International Seminar (MSCEIS 2023)

Voices from the Classroom: Students’ Perspectives on ARIPSA’s Role in Assessing Problem-Solving Skills

To address the complexities of the 21st century, it is essential for society to be armed with relevant competencies, of which problem-solving skills are paramount. A comprehensive assessment that reflects their problem-solving acumen is necessary to gauge students’ capabilities in this area. This study aims to elucidate the students’ perceptions regarding the implementation of ARIPSA (Augmented Reality Integrated on Problem Solving Assessment). The chosen methodological approach for this research is descriptive quantitative, with a questionnaire serving as the primary instrument. Upon a detailed analysis of the data, it was observed that 86,54% of students expressed positive feedback toward the use of ARIPSA. This indicates that a vast majority of students believe in the efficacy and suitability of ARIPSA as a measure for assessing problem-solving skills.

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The Practical Value of Studying Philosophy

Posted in: Why Study Philosophy?

Transferable Skills

By studying philosophy, students develop cognitive transferable skills that pay off in a variety of professions—transferable skills such as Logical Reasoning • Analysis • Abstract Conceptualization • Problem-Solving • Creative Thinking • Clear and Persuasive Writing • Mental Dexterity • An Ability to Assess Different Perspectives and Frameworks • Information Management.

Earning Potential

The national median salary of Philosophy graduates is higher than nearly every other major in the social sciences, humanities, and higher than many other majors—higher than Psychology, Criminology, Communication, Special Education, Early Childhood Education, Business Management, Political Science, History, English, and so on (data source:  payscale.com ).

Which professions do philosophy graduates pursue? • Technology • Business • Law • Publishing • Government • Advertising • Journalism • Teaching • Sales • Human Resources • Public Relations • Activism • Public Policy, and so on.

Read about the practical value of studying philosophy

• Forbes  (2017) – “ A Case For Majoring In Philosophy ”

“Every year, college students choose their majors with an eye toward the return on investment. Among the usual lucrative suspects like finance and engineering, one liberal arts field stands out: philosophy. It turns out that philosophy majors earn significantly more than most majors, especially over the long term.”

“The surprisingly robust ROI [return on investment] for philosophy majors can be traced to its intellectual rigor. Philosophers are taught to seek out the pressure points in arguments and to reason for themselves. They dive into highly technical conversations, construct their own positions and arguments, and analyze relevant problems from multiple perspectives.”

“Beyond finances, the study of philosophy can also help students learn for themselves how they define the good life and how to go about living it.”

• U.S. News & World Report  (2020) – “ What You Can Do With a Philosophy Degree ”

“Philosophy students learn how to question conventional thinking, which is a marketable skill.”

“A Wall Street Journal analysis of the long-term earning potential of people with various college majors revealed that philosophy majors tend to get raises and promotions more quickly than individuals with other majors, and a result of this rapid career progression is that philosophy majors’ mid-career earnings are usually double the size of their starting salaries.”

• CNBC  (2018) – “ Mark Cuban says studying philosophy may soon be worth more than computer science—here’s why ”

“’I’m going to make a prediction’, Cuban told AOL in 2017. ‘In 10 years, a liberal arts degree in philosophy will be worth more than a traditional programming degree’…He views previously lucrative jobs in industries like accounting and computer programming as subject to the powers of automation. To remain competitive, Cuban advises ditching degrees that teach specific skills or professions and opting for degrees that teach you to think in a big picture way, like philosophy.”

• Times Higher Education  (2019) – “ What Can You Do with a Philosophy Degree? ”

“Philosophy graduates have highly transferable skills that are valuable to employers.”

“Graduates secure work in a variety of disciplines after their degree, such as teaching, PR or politics. Communications, publishing, HR and advertising can be attractive options for philosophy graduates, as well as law, banking, the civil service, business and science. Others go on to further study, research, academia and/or lecturing in philosophy or a related field.”

• Entrepreneur Magazine  (2017) – “ 5 Reasons Why Philosophy Majors Make Great Entrepreneurs ”

“When accomplished entrepreneurs like Reid Hoffman, Peter Thiel and Carly Fiorina credit their philosophy backgrounds for their success, you have to wonder if they’re on to something.”

• New York Times  (2018) – “ A Wall Street Giant Makes a $75 Million Bet on Academic Philosophy ”

“Philosophy, he [Bill Miller] added, ‘has made a huge difference both to my life outside business, in terms of adding a great degree of richness and knowledge, and to the actual decisions I’ve made in investing’.”

“Mr. Miller, 67, is not the only old-guard Wall Street figure with a background in philosophy. George Soros was heavily influenced by the Austrian philosopher Karl Popper. Carl Icahn was a philosophy major at Princeton . . . (On the watchdog side of the street, Sheila Bair, the former chair of the Federal Deposit Insurance Corporation, was also a philosophy major.)”

• Harvard Business Review  (2014) – “ How Philosophy Makes You a Better Leader ”

“A CEO client . . . found that contemplating the teachings of an ancient philosopher (Socrates) and a 20th century philosopher (Habermas) empowered him to implement an enhanced process of dialogue, consensus building, and ‘communicative rationality’ with his leadership team.”

• National Bureau Of Economic Research  (2017) – “ The Costs Of And Net Returns To College Major ”

“Health and Engineering majors, where earnings returns are large on a per graduate basis, have per-dollar returns similar to those observed in education, math, philosophy , and language degrees. .  .”

Graduate Study

Some philosophy majors go on to graduate studies in philosophy in order to pursue an academic career. The philosophy major is also exceptional training for many other post-graduate paths, such as law school. In fact, statistics indicate that philosophy majors perform very well on standardized tests for post-graduate and professional study.

• The GRE (“the SAT for graduate school”) – Philosophy majors come out on top.

“When students are compared by major on how far above average they do on the Graduate Record Examinations (GRE), a standardized test used in many disciplines to assess applicants to graduate programs, philosophy majors come out on top , according to a new look at test score data over the past few years.” (Daily Nous)

• Our philosophy department and Montclair State’s Feliciano School of Business have partnered for a “4 + 1” Philosophy BA/MBA program .
• The LSAT (the entrance exam for law school admissions) – Philosophy majors tie for first place with Economics majors.
• Medical School – The Philosophy major is a solid path to medical school. Consider the data and facts as explained by Paul Jung, M.D: “ If you think biochemistry is your ticket into medical school, think again. “

The Effects of Problem-Based Learning on the Writing Skills of Students Across Various Personality Types

• Jumariati Jumariati Universitas Lambung Mangkurat
• Elvina Arapah Universitas Lambung Mangkurat

Problem-based learning (PBL) is an approach where group discussions and collaboration are apparent during problem-solving activities. Accordingly, learners’ personality types that affect the way they think, feel, behave, and interact may potentially have a role in PBL classrooms. This study tries to reveal the possible roles personality types play in PBL by investigating the effects of PBL on the argumentative essay writing of both extroverted and introverted students. This study employed a quasi-experimental design by randomly selecting students in academic writing courses for both the experimental and comparison groups and involving them in the intact classes. The findings revealed that the students in the PBL group scored higher than those in the guided writing group. Moreover, the extroverted students in the PBL group achieved higher mean scores than the extroverted students in the comparison group; however, the difference was insignificant. On the contrary, the statistical analysis showed that the introverted students in the experimental group outperformed those in the comparison group. This is to say that the introverted students taught using PBL had better skills in writing argumentative essays compared to those taught using guided writing techniques. This finding implies the need to use suitable teaching strategies that facilitate both extroverts and introverts in developing their writing skills while also sharpening their communicative and social skills.

Author Biographies

Jumariati jumariati, universitas lambung mangkurat.

English Language Education Study Program

Elvina Arapah, Universitas Lambung Mangkurat

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