- Degree
- Master of Science
- Course location
- Braunschweig
- Teaching language
- • English
- Languages
- Courses are held in English (100%).
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- Winter semester:
• 1 February - 15 March (for non-EU applicants)
• 1 June - 15 July (for EU applicants and applicants not subject to visa requirements)
Summer semester:
• 1 August - 15 September (for non-EU applicants)
• 1 December - 15 January (for EU applicants and applicants not subject to visa requirements)
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The science of gaining knowledge and insight from data is so highly developed today that it forms its own field: data science. The study of data science combines computer science, mathematics and various selectable application subjects. Because of the fascination with these methods and their importance for business, technology and research, the position of a data scientist is often considered the "hottest job" of our time.
The study programme in data science is a joint course offered by the departments of Computer Science and Mathematics. Through the application areas, all other faculties of TU Braunschweig also participate in the study programme. TU Braunschweig has been offering the study of computer science since 1972, making it one of the first universities in Germany to do so, and mathematics has always been taught at TU Braunschweig. Since 2018, a specialisation in the mathematics of data science has been offered in the Master's in Mathematics programme. The English-taught Master's programme in Data Science is thus – unlike at other locations – a combination of the fundamentals of mathematics, relevant areas of computer science, and a variety of application areas from the entire portfolio of TU Braunschweig.
Examples of these application areas include the following:
• engineering
• biology/chemistry/pharmacy
• medicine
• image and signal processing
Further application areas are in preparation.
The study programme manifests itself in three core areas:
• the education in fundamental research in mathematics, with emphasis on mathematical foundations for data analysis
• the education in fundamental research in computer science, with an emphasis on data processing, data analysis, and data management
• an application area in which these fundamental techniques are put into practice
Ramp-up courses in mathematics and computer science bring students with different previous degrees to a comparable level in order to make the entire range of the Data Science degree programme accessible to them. A wide freedom of choice in the three core areas of the programme (mathematics, computer science and applications) allows students to develop their own profile and focus. Seminars, labs and projects implement practical, project-based and research-oriented learning and train the application of theoretical knowledge to practical problems. Written within a six-month period, the Master's thesis at the end of the Master's programme constitutes an independent scientific research work under expert supervision at one of the institutes in computer science or mathematics, usually in connection with an application area.