PhD in Computer Science: Specializations & Best Degrees
Doctor of Philosophy with Major in Computer Science, Data Science and
PhD in Data Science
Ph.D. in Computer Science at the USC Viterbi School of Engineering
Is a PhD Worth it?
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Data Analyst after 12th #dataanalyst #data #ai #sql #microsoftexcel #datavalidation #powerbi
Application for PhD position in Computer Science for circular construction at ETH Zurich
PhD in Computer Science at UChicago: Tips & Insights for International Students
001 Overview of Data Science
PhD Statistics at Leeds University
COMMENTS
PhD
The Doctor of Philosophy program in the Field of Statistics is intended to prepare students for a career in research and teaching at the University level or in equivalent positions in industry or government. A PhD degree requires writing and defending a dissertation. Students graduate this program with a broad set of skills, from the ability to interact collaboratively with researchers in ...
Statistics and Data Science
Statistics and Data Science. Wharton's PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include theoretical research in mathematical statistics as well as interdisciplinary research in the social sciences, biology and computer ...
PhD Program
PhD Program. Wharton's PhD program in Statistics provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as ...
PhD Program
PhD Program. A unique aspect of our Ph.D. program is our integrated and balanced training, covering research, teaching, and career development. The department encourages research in both theoretical and applied statistics. Faculty members of the department have been leaders in research on a multitude of topics that include statistical inference ...
PhD in Statistics and Computer Science
The 4-year PhD in Statistics and Computer Science develops strong mathematical, statistical, computational and programming backgrounds. The rise of Machine Learning and Data Science is providing undisputed evidence that the ideal expertise for achieving new exciting advances in these areas lies at the boundaries of Statistics and Computer ...
Ph.D. Program
Statistical Science at Duke is the world's leading graduate research and educational environment for Bayesian statistics, emphasizing the major themes of 21st century statistical science: foundational concepts of statistics, theory and methods of complex stochastic modeling, interdisciplinary applications of statistics, computational statistics, big data analytics, and machine learning. Life ...
Ph.D. Programs
The Ph.D. programs of the Department of Statistics at Carnegie Mellon University enable students to pursue a wide range of research opportunities, including constructing and implementing advanced methods of data analysis to address crucial cross-disciplinary questions, along with developing the fundamental theory that supports these methods.
PhD Admissions
Our PhD program welcomes students from a broad range of theoretical, applied, and interdisciplinary backgrounds, and provides rigorous preparation for a future career in statistics, probability, or data science. Our top-ranked program usually takes 5 years to complete. PhD theses are diverse and varied, reflecting the scope of faculty research ...
Ph.D. Program
See the list of alumni for examples. Department of Statistics and Data Science. Yale University. Kline Tower. 219 Prospect Street. New Haven, CT 06511. Mailing Address: PO Box 208290, New Haven, CT 06520-8290. Shipping Address (packages and Federal Express): 266 Whitney Avenue, New Haven, CT 06511. Department Phone: 203.432.0666.
Statistics and Data Science, PhD
Statistics and Data Science, PhD. Wharton's PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across ...
Doctoral Program
Students are required to. The PhD requires a minimum of 135 units. Students are required to take a minimum of nine units of advanced topics courses (for depth) offered by the department (not including literature, research, consulting or Year 1 coursework), and a minimum of nine units outside of the Statistics Department (for breadth).
Ph.D. in Computer and Statistical Sciences
The Ph.D. will have 2 different concentrations: Computer Science, and Statistics. Some of the prerequisites are common, others are concentration specific. Ph.D. Program Prerequisites. Admission to this program requires a Bachelor's degree in Computer Science, Statistics, Biostatistics, Mathematics, Engineering, or a closely related field.
Department of Statistics
PhD Program Overview. The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability.
Doctor of Philosophy
Doctor of Philosophy. The Doctor of Philosophy program in statistics prepares students for careers in university teaching and research or in government or industrial research. Students entering the program spend four semesters acquiring a basic background in probability, mathematical statistics, and applied statistics and take general ...
Statistics/Machine Learning Joint Ph.D. Degree
This program differs from the standard Statistics Ph.D. program in its emphasis on machine learning and computer science. Students in this track will be involved in courses and research from both the Departments of Statistics and Machine Learning. During the first year, students will normally be ...
PhD in Statistics and Applied Probability
PhD in Statistics and Applied Probability ... computer science, and biomedical science. Recent dissertations have been written in the areas of smoothing splines, spatial statistics, micro-array analysis, functional data models, empirical processes, mathematical and statistical finance, Bayesian inference, and bootstrap estimation methods. ...
PhD in Statistical Science
The PhD in Statistical Science represents the highest academic attainment for a statistician and, as such, requires in-depth knowledge of modern statistical methodology, theory, and practice.. The degree program is a hybrid of probability, computation, and data analysis; and students are expected to be proficient in all three. Current research areas of key department faculty in the program ...
Interdisciplinary Doctoral Program in Statistics
The Interdisciplinary Doctoral Program in Statistics is an opportunity for students in a multitude of disciplines to specialize at the doctoral level in a statistics-grounded view of their field. Participating programs include Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and the IDSS Social and ...
PhD Program Admissions
We're thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here. Our program accepts a large number of applicants each ...
Ph.D. Specialization in Data Science
The Ph.D. specialization in data science is an option within the Applied Mathematics, Computer Science, Electrical Engineering, Industrial Engineering and Operations Research, and Statistics departments. Only students already enrolled in one of these doctoral programs at Columbia are eligible to participate in this specialization.
PhD Program information
The Statistics PhD program is rigorous, yet welcoming to students with interdisciplinary interests and different levels of preparation. Students in the PhD program take core courses on the theory and application of probability and statistics during their first year. The second year typically includes additional course work and a transition to ...
Ph.D. in Computer Science
The Ph.D. in Computer Science at UMKC is designed for students eager to advance technology and science. The program offers deep expertise in advanced computer science principles, with specializations in data science, AI and cybersecurity. ... Financial support, such as graduate assistantships or scholarships, will also be determined at this ...
B.S. in Statistics & Computer Science
General Email (not for admissions inquiries): [email protected]. Communications: [email protected]. Webmaster: [email protected]. Explore a Statistics & Computer Science, Bachelor of Science in Liberal Arts and Sciences (BSLAS) degree at the nation's #5 best computer science program at the ...
Machine Learning and Big Data PhD Track
About The UW Department of Statistics now offers a PhD track in the area of Machine Learning and Big Data. All incoming and current students are eligible to apply. The goal of the PhD track is to prepare students to tackle large data analysis tasks with the most advanced tools in existence today, while building a strong methodological foundation.
PhD in Statistics and Computer Science
PhD program Director Prof. Antonio Lijoi PhD Administrative Assistant Angela Baldassarre . The 4-year PhD in Statistics and Computer Science is a high profile and rigorous doctoral program, within the Department of Decision Sciences, that develops strong mathematical, statistical, computational and programming backgrounds. It arises as an expansion of the PhD in Statistics, which has been ...
IMAGES
VIDEO
COMMENTS
The Doctor of Philosophy program in the Field of Statistics is intended to prepare students for a career in research and teaching at the University level or in equivalent positions in industry or government. A PhD degree requires writing and defending a dissertation. Students graduate this program with a broad set of skills, from the ability to interact collaboratively with researchers in ...
Statistics and Data Science. Wharton's PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include theoretical research in mathematical statistics as well as interdisciplinary research in the social sciences, biology and computer ...
PhD Program. Wharton's PhD program in Statistics provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across the rest of the University such as ...
PhD Program. A unique aspect of our Ph.D. program is our integrated and balanced training, covering research, teaching, and career development. The department encourages research in both theoretical and applied statistics. Faculty members of the department have been leaders in research on a multitude of topics that include statistical inference ...
The 4-year PhD in Statistics and Computer Science develops strong mathematical, statistical, computational and programming backgrounds. The rise of Machine Learning and Data Science is providing undisputed evidence that the ideal expertise for achieving new exciting advances in these areas lies at the boundaries of Statistics and Computer ...
Statistical Science at Duke is the world's leading graduate research and educational environment for Bayesian statistics, emphasizing the major themes of 21st century statistical science: foundational concepts of statistics, theory and methods of complex stochastic modeling, interdisciplinary applications of statistics, computational statistics, big data analytics, and machine learning. Life ...
The Ph.D. programs of the Department of Statistics at Carnegie Mellon University enable students to pursue a wide range of research opportunities, including constructing and implementing advanced methods of data analysis to address crucial cross-disciplinary questions, along with developing the fundamental theory that supports these methods.
Our PhD program welcomes students from a broad range of theoretical, applied, and interdisciplinary backgrounds, and provides rigorous preparation for a future career in statistics, probability, or data science. Our top-ranked program usually takes 5 years to complete. PhD theses are diverse and varied, reflecting the scope of faculty research ...
See the list of alumni for examples. Department of Statistics and Data Science. Yale University. Kline Tower. 219 Prospect Street. New Haven, CT 06511. Mailing Address: PO Box 208290, New Haven, CT 06520-8290. Shipping Address (packages and Federal Express): 266 Whitney Avenue, New Haven, CT 06511. Department Phone: 203.432.0666.
Statistics and Data Science, PhD. Wharton's PhD program in Statistics and Data Science provides the foundational education that allows students to engage both cutting-edge theory and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across ...
Students are required to. The PhD requires a minimum of 135 units. Students are required to take a minimum of nine units of advanced topics courses (for depth) offered by the department (not including literature, research, consulting or Year 1 coursework), and a minimum of nine units outside of the Statistics Department (for breadth).
The Ph.D. will have 2 different concentrations: Computer Science, and Statistics. Some of the prerequisites are common, others are concentration specific. Ph.D. Program Prerequisites. Admission to this program requires a Bachelor's degree in Computer Science, Statistics, Biostatistics, Mathematics, Engineering, or a closely related field.
PhD Program Overview. The PhD program prepares students for research careers in probability and statistics in academia and industry. Students admitted to the PhD program earn the MA and MPhil along the way. The first year of the program is spent on foundational courses in theoretical statistics, applied statistics, and probability.
Doctor of Philosophy. The Doctor of Philosophy program in statistics prepares students for careers in university teaching and research or in government or industrial research. Students entering the program spend four semesters acquiring a basic background in probability, mathematical statistics, and applied statistics and take general ...
This program differs from the standard Statistics Ph.D. program in its emphasis on machine learning and computer science. Students in this track will be involved in courses and research from both the Departments of Statistics and Machine Learning. During the first year, students will normally be ...
PhD in Statistics and Applied Probability ... computer science, and biomedical science. Recent dissertations have been written in the areas of smoothing splines, spatial statistics, micro-array analysis, functional data models, empirical processes, mathematical and statistical finance, Bayesian inference, and bootstrap estimation methods. ...
The PhD in Statistical Science represents the highest academic attainment for a statistician and, as such, requires in-depth knowledge of modern statistical methodology, theory, and practice.. The degree program is a hybrid of probability, computation, and data analysis; and students are expected to be proficient in all three. Current research areas of key department faculty in the program ...
The Interdisciplinary Doctoral Program in Statistics is an opportunity for students in a multitude of disciplines to specialize at the doctoral level in a statistics-grounded view of their field. Participating programs include Aeronautics and Astronautics, Brain and Cognitive Sciences, Economics, Mathematics, Mechanical Engineering, Physics, Political Science, and the IDSS Social and ...
We're thrilled that you are interested in our PhD program in computer science! This page provides an overview of the application process, some guidelines, and answers to specific questions. Please check our FAQ before emailing [email protected] with any questions not answered here. Our program accepts a large number of applicants each ...
The Ph.D. specialization in data science is an option within the Applied Mathematics, Computer Science, Electrical Engineering, Industrial Engineering and Operations Research, and Statistics departments. Only students already enrolled in one of these doctoral programs at Columbia are eligible to participate in this specialization.
The Statistics PhD program is rigorous, yet welcoming to students with interdisciplinary interests and different levels of preparation. Students in the PhD program take core courses on the theory and application of probability and statistics during their first year. The second year typically includes additional course work and a transition to ...
The Ph.D. in Computer Science at UMKC is designed for students eager to advance technology and science. The program offers deep expertise in advanced computer science principles, with specializations in data science, AI and cybersecurity. ... Financial support, such as graduate assistantships or scholarships, will also be determined at this ...
General Email (not for admissions inquiries): [email protected]. Communications: [email protected]. Webmaster: [email protected]. Explore a Statistics & Computer Science, Bachelor of Science in Liberal Arts and Sciences (BSLAS) degree at the nation's #5 best computer science program at the ...
About The UW Department of Statistics now offers a PhD track in the area of Machine Learning and Big Data. All incoming and current students are eligible to apply. The goal of the PhD track is to prepare students to tackle large data analysis tasks with the most advanced tools in existence today, while building a strong methodological foundation.
PhD program Director Prof. Antonio Lijoi PhD Administrative Assistant Angela Baldassarre . The 4-year PhD in Statistics and Computer Science is a high profile and rigorous doctoral program, within the Department of Decision Sciences, that develops strong mathematical, statistical, computational and programming backgrounds. It arises as an expansion of the PhD in Statistics, which has been ...