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.
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: 15?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) |
How do I apply? What academic qualifications are required??
You can find answers to these questions and more in our “Application and Admission” section.
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.
The program is divided into
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).
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.
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
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.