master thesis jlu

Course of Study

Composition of the degree programme.

Our modules offer a wide spectrum of different teaching methods including synchronous online teaching such as lectures, seminars and group discussion as well as asynchronous elements such as videos and individual work tasks. Students complete each module with a final examination and the individual module grades determine the final grade of the entire study programme.

The programme schedule consists of eleven mandatory modules (core modules), five optional modules (profile modules), and the master thesis. Having completed the core modules the students are well equipped with a solid scientific education and ready to broaden their knowledge in specific research areas. By individually choosing their profile modules from a diverse range of study areas students shape their individual competence profile.

Core Modules

• Theory and Practice of Economic Development (6 CP)
• Global Food Markets (6 CP)
• Sustainable Food Systems (6 CP)
• International Economics (6 CP)
• Climate Change and Development (6 CP)
• Resource Economics, Sustainability & Environmental Management (6 CP)
• Renewable Energy Transition (6 CP)
• Natural Resources and Ecosystem Services (6 CP)
• Food Politics (6 CP)
• Scientific Working and Writing (6 CP)

Profile Modules

Students tailor their individual profile by selecting five modules from the catalogue for digital degree programmes. Among the modules for this study programme are the following:

• The Economics of Nitrate Pollution
• Python for Environmental Scientists
• Insects for Food and Feed Production Systems
• Agriculture, Ecosystem Functioning and Climate Change
• Land Governance for Sustainable Land Use in Africa
• Special Topics of the UN Sustainable Development Goals I
• Special Topics of the UN Sustainable Development Goals II
• Applied Statistics

On-Site Courses during the Summer Vacation

Several profile modules are offered as block modules with physical attendance in Giessen during the summer vacation. These modules are optional and you can attend them if you wish to be physically present in Giessen during your studies. If you are interested in attending some of these modules, please contact the study coordinators of the Faculty 09 at studies protect me ?! fb09.uni-giessen protect me ?! .de for further information.

Master Thesis (24 CP)

Students dedicate the major part of the 4th semester to writing the master thesis. With the thesis, they prove their capability to investigate a given topic independently and scientifically within a given timeframe. The core module Scientific Working and Writing supports students in their research process.

Master of Science (MSc)

Duration of Studies

4 semesters – 120 credit points (cp)

Application Process

Foreign applicants outside the European Union who do not have a German Bachelor Degree, must submit their application to JLU Giessen via uni-assist . No study fees are charged for this study programme. However, students have to pay a semester contribution of approx. 100 EUR for administration. Please note that you can only apply once a year for the winter semester. You can also find out more information on the prerequistites and the application process on this website.

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Data Analytics (M.Sc.)

Taught in German

Foto: pitinan/123rf.com

Data science is a highly relevant and interdisciplinary field of research and work which links computer science, mathematics and domain knowledge. The analysis of large pools of data, e.g. using methods of artificial intelligence and machine learning for the extraction of useful information has become an integral part of today's society and a number of career fields. If a stronger focus is applied to computer science and domain knowledge, we find ourselves in the field of data analytics.

The Master's degree program "Data Analytics" is aimed at Bachelor's students who wish to expand the domain knowledge they acquired in their Bachelor's degree, which is not related to computer science, with skills in the field of data science, i.e. mathematics and computer science, and thus become capable of in-depth scientific work in the field of data analytics. This programme is accessible to students with a Bachelor’s in the following fields:

• Natural Sciences
• Life Sciences
• Engineering
• Agricultural Sciences
• Environmental Sciences
• Nutritional Sciences

However, students with other Bachelor’s degrees (e.g. Humanities and Social Sciences) may also be permitted to enroll following an inspection by the board of examination.

This course of study expands upon the students‘ domain knowledge gained during the bachelor’s programme. During the first year of studies, the programme primarily focuses on methods of modern data analysis, including basic concepts of computer science, data base programming, aspects of information and data management, basic methods of artificial intelligence, as well as the fundamentals of data analysis and visualisation. The second year of studies covers a project phase and the Master Thesis, which combines domain knowledge with these methods of data analysis.

"Data Analytics" is offered as a hybrid degree programme, allowing students to study in person, entirely digital or a combination of the two. This also applies to projects and the Master’s Thesis. Students may switch at any time, including during the lecture period. Furthermore, the content of lectures, tutorials and seminars is made available digitally and asynchronously.

Composition

Duration of studies:.

4 Semesters - 120 Credit Points (CP)

Composition of the Study Programme

The course of studies encompasses 120 CP and is divided into 14 compulsory modules, including one project module (9 CP), a specialisation module (12 CP) and the Master Thesis module (30 CP). Because Data Analytics if offered as a hybrid programme, students have the option to study in person, entirely remote, or in a mixed format.

The first year of studies provides an introduction to the basics of Data Analytics. This includes learning the programm languages Python and R, as well as the basics of information technology and data bases. Basic methods of artificial intelligence are also introduced during the first semester,as they will need to be applied for data analysis during the second semester. Another essential tool is text mining, which is used for the collection and analysis of data.

Moreover, first-year students are to attend the lecture series "Data Science", in which (working groups) at JLU introduce themselves. This not only provides students with a great overview of the range of topics, but also with the opportunity to establish connections for future projects or the Master Thesis. The first year of study is accompanied by two modules on information and data management, in which important aspects of data (long-term archiving, ethical and legal aspects, repositories, version control and much more) are examined.

In addition to a module on information visualisation, the third semester includes a project phase in which students deepen their basic knowledge. The specialisation module can build on the "Project Data Analytics" module and further develop a project; it is intended to prepare students for the Master's thesis. The Master's thesis itself constitutes the entirety of the fourth semester.

There is also a part-time option for an 8-semester degree programme. This can be found in the University of Giessen's programme announcements (MUG) .

Application

Commencement of studies.

Only possible during the Winter Semester.

Entrance Requirements

The requirement for acceptance into the Master’s course is a Bachelor’s degree with completed modules of at least 6 CP in statistics, as well as 90 CP in a field of science besides computer science and mathematics.

Other courses of study can be approved upon examination by the board of inspectors.

Application / Enrollment

No NC (GPA) requirements apply to this course of study.

Start of Enrollment for the Winter Semester of 2024/25

End of enrollment for the winter semester of 2024/25.

• 01.09.2024 for applicants with a german university entrance qualification
• 15.08.2024 for applicants with a foreign university entrance qualification

Different rules may apply to international applicants. Read more.

Career Options

Doctoral studies.

• Doctorate possible after the successful completion of the Master's degree.

Career Fields

The demand for STEM graduates in the field of computer science and data analysis is already high and will continue to rise massively in the coming years. This applies to almost all branches of industry, banks, insurance companies and public authorities, as well as many areas of the natural sciences, humanities, cultural studies, social sciences and life sciences.

Data analytics focuses on analysing data in order to create knowledge from it. This approach, also known as data mining, is currently becoming increasingly important in all areas of business, industry, administration and research. In the future, it will be almost impossible to be successful in these areas without utilising data analytics experts. These people work at the interface between the specialised discipline and computer science. Overall, this opens up a wide range of employment opportunities in almost all modern sectors of the economy as well as in public administration and research.

Further Information

• Detailed code of regulations for this degree programme (incl. module descriptions, module plan and placement regulations) (in German)
• General Regulations for modularised and consecutive degree programmes at JLU
• Faculty's Deanship
• Examinations office of Natural Sciences
• Student representatives
• Advanced materials
• Mathematics
• Man, climate and environment
• Physics and technology for spatial applications
• Economic geography and spatial development policy

International

Information and consultation.

Information and advice for studies and internships abroad (for JLU students)

• International Office General counseling of international students Goethestr. 58 , Room 38 35390 Giessen Contact and consulation hours

Prof. Dr. Christian Heiliger Institute for Theoretical Physics Heinrich-Buff-Ring 16, room 441 35392 Gießen Phone: 0641 - 99 33360 E-mail :  Christian Heiliger

Beate Pitzler (Student counselling)

Student Hotline "CallJustus" (Initial information on all questions relating to the degree programme, Phone: 0641-9916400)

International Office - Contact Persons and Office Hours (Counselling and support for international students and applicants)