MSc Data Science

How do I apply? What academic qualifications are required? 

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

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.

Why study in Regensburg?

Why study in Regensburg? We give you 6 reasons to pursue your studies in the flair of Germany's best-preserved medieval city.

What does the Campus look like?

Our Faculty for Informatics and Data Science (FIDS) is in a truly privileged position: on the one hand, we use the university campus and, on the other hand, we have our own building near the campus (at Bajuwarenstraße 4), which has been completely renovated for us and has state-of-the-art equipment. You can find more information here.