- Degree
- Master of Science in Data Science
- Course location
- Marburg
- Teaching language
- • English
- Languages
- Some of the courses on the long list of electives are possibly taught in German.
- Full-time / part-time
- • full-time
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- All details can be found at: https://www.uni-marburg.de/en/studying/admissions/deadlines (https://www.uni-marburg.de/en/studying/admissions/deadlines).
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Master's programme in Data Science of the University of Marburg serves to deepen knowledge and provide specialisation for the acquisition of competencies in dealing with (big) data. Taking into account the new requirements in a digitalised society and the resulting changes in the professional world and the associated transdisciplinarity, you will acquire an expanded skill set and knowledge in the field of computer science and applied mathematics. Building on these, you will be able to independently develop solutions to technical and scientific problems as well as to apply and critically assess scientific findings and deal with them responsibly in an application context.
In order to achieve these goals, the Master's programme consists of specialisations in information technology, such as machine learning, software development of scalable systems and big data technology as well as applied mathematics. In addition, it is optionally possible to choose an area of application. In any case, you will become acquainted with concrete applications through the project-oriented parts of the studies and strengthen your social and team working skills. Besides a software project with a duration of one year, in which you practice data science skills such as data modelling and analysis, you will participate in at least one seminar, in which you practice working with relevant scientific literature. In the individual Master’s thesis, you will work on research-related problems from data science.