MSc Data Science

The Master's degree program in Data Science starts in winter semester 2025/26. Applications are expected to be possible until June 1, 2025. We will provide you with further information on the application process in the coming weeks.

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 fields of data science, such as biomedical research, the technology industry, business or other future-oriented fields. Your M.Sc. in Data Science will prepare you to develop innovative solutions for complex problems and to work in an interdisciplinary field. 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.

The advantages at a glance:

Experience an exciting study program at the highest level.
Look forward to future-oriented teaching by a team of lecturers made up of young, highly renowned researchers.
Benefit from an English-language degree program and receive optimal preparation for a job in the (international) IT environment.
You can learn according to your interests and choose a specialization that can be shown on your certificate.
Start in the winter or summer semester. This allows you to transfer seamlessly from the Bachelor's to the Master's.
Study topics that are currently at the forefront of research.

What makings do I need to have?

It's up to you: Our admission procedure

If you want to study the M.Sc. Data Science at the University of Regensburg, you should have

?a Bachelor's degree with a final grade of 2.5 or better (or at least 138 CP in your current Bachelor's degree with a provisional final grade of 2.5 or better) - if you have not already studied Data Science or Computer Science in your Bachelor's degree, but are burning with interest in Data Science, you can be admitted if you fulfill the other requirements;
successfully completed credits from the field of Data Science amounting to 30 CP and from the field of Mathematics amounting to 18 CP (from a total of 30 LP from Data Science and Mathematics you can be admitted with conditions);
proof of English at level C1 CEFR or a Bachelor's thesis written in English;
international applicants must also prove their subject knowledge by passing a Graduate Record Examination (GRE) General Test.

Further details on the requirements as well as further information on the admission procedure, deadlines and necessary documents will be available here soon.

How is the degree program structured?

The degree program is divided into

??? a compulsory area (incl. Master's thesis) (min. 66 LP)
??? the compulsory elective area “Machine Learning and Statistics” (min. 12 CP)
??? the compulsory elective area “Specialization” (at least 42 CP)

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.