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M.Sc. Data Science

The Master's degree program in?Data Science will start at FIDS in winter semester 2025/26. An application is expected to be possible until June 01, 2025.


Data scientist, AI expert, data engineer, data analyst - you can be all of these with your degree from the Master's degree program in Data Science. In addition, all doors are open to you in application areas of data science, such as biomedical research, the technology industry, business or other future-oriented fields.


Program highlights:

  • Experience a cutting-edge computer science program designed for the future.
  • Learn from a dynamic team of young, highly acclaimed researchers dedicated to forward-thinking teaching.
  • Benefit from an English-language curriculum that prepares you for a career in the global IT industry.
  • Tailor your studies to your interests by choosing a specialization, which will be reflected on your certificate.
  • Start in either the winter or summer semester, ensuring a seamless transition from your Bachelor's to Master's program.
  • Engage with topics at the forefront of modern research and innovation.

Key data:

Credits 120 ECTS
Type and Duration of Study

Full time, 4 semesters

Part-time, up to 8 semesters

Teaching Language English
Main Locations Campus at Bajuwarenstra?e 4 / University Campus
Start of Degree?Program Winter and summer semester
Application Period

Winter semester: 01 April -?01 June

Summer semester: 01 October -?01 December

Semester Period

Winter semester: 01 October -?31 March

Summer semester: 01 April - 30 September

Admission Category Aptitude Assessment Process
Costs Semester fee (EUR 198,00 incl. semester ticket)

Application and Admission

How do I apply? What academic qualifications are required??

You can find answers to these questions and more in our “Application and Admission” section.


Program Profile and Structure

Profile

Your M.Sc. in Data Science will prepare you to develop innovative solutions for complex problems and to work in an interdisciplinary environment. During your studies, you can deepen or expand your knowledge in advanced topics of statistics and machine learning and specialize in specific areas of application.

As a graduate of our Master's program, you have an excellent academic education, which you have largely tailored to your individual preferences.

You will have deepened your specialist knowledge in Machine Learning and Statistics and application areas of data science and carried out your own scientific projects on current research topics. You will therefore be optimally equipped to further develop the discipline, take up doctoral studies or pursue a career as a specialist in high demand.


Structure

The program is divided into

  • the?compulsory area (incl. Master's thesis) (min. 66?ECTS)
  • the compulsory elective area “Machine Learning and Statistics” (at least12?ECTS)
  • ?the compulsory elective area “Specialization” (at least 42 ECTS)


Not to be missed: The compulsory area

Advanced knowledge of current trends in deep learning and reinforcement learning is essential for us when studying data science. You will acquire this at the beginning of your studies in the lecture “Modern Machine Learning” with associated lab (6 CP). Two elective modules allow you to complete courses from Computer and Data Science or from other subject areas according to your own interests (12 CP each). The compulsory area is completed by a seminar on current topics in data science (6 CP) and the Master's thesis module (30 CP).


It all comes down to the core: The compulsory Machine Learning and Statistics elective area

You choose modules worth at least 12 CP from 11 planned modules, all of which are dedicated to central topics in data science and machine learning. Examples of modules are: Statistical Machine Learning, Advanced Statistics I and II, Advanced Explainable AI, Advanced Data Engineering, Digital Image Processing - AI-based approaches etc.


Whatever you want: The Specialization elective area

You can choose from four specializations during your studies. You must choose one of these as a specialization by completing modules amounting to at least 42 CP from the specialization (according to specified regulations). You can choose between the specializations

  • ??? Machine Learning and Statistics
  • ??? Computational Life Sciences
  • ??? Human-Centred Data Science
  • ??? Information Systems

In all specializations, there is a compulsory elective area, so that you can also choose modules within a specialization according to your interests. If you complete your Master's thesis project as part of your specialization, we will highlight your specialization on your Master's certificate.



Any Questions?

Student Advising Data Science

studienberatung.ds@ur.de


Student Advising for international applicants

international.degree-student@ur.de