- Degree
- Master of Science in Data Science
- Course location
- Ilmenau
- In cooperation with
- A double degree programme with LUT University in Finland is available as an optional study track.
- Teaching language
- • English
- Languages
- Courses are held in English (100%).
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- Winter semester
• Application period for students with certificates from non-EU/EEA countries: 16 January – 15 May
• Application period for students with certificates from EU/EEA countries, Switzerland, or the UK: 16 April – 15 September
Summer semester
• Application period for students with certificates from non-EU/EEA countries: 1 August – 15 November
• Application period for students with certificates from EU/EEA countries, Switzerland, or the UK: 16 October – 15 March
Foreign applicants who need to apply for a visa to enter Germany should submit their visa application at least three months before the programme begins in April or October.
This programme will be offered for the first time beginning in the 2026 summer semester (April).
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- Yes
- Description/content
- Dive deeper into the world of data and actively shape the future. Our English-language Master’s degree programme in Data Science builds on a solid Bachelor’s background and offers you a unique opportunity to deepen your knowledge and engage with cutting-edge technologies. This programme is specifically designed to operate at the intersection of scientific innovation and industrial progress.
In particular, you will be introduced to AI-supported decision-making based on existing mathematical models to address important societal issues. Furthermore, there is a special focus on the quantification of uncertainties as well as causal and Bayesian inference. You will also learn state-of-the-art techniques in the field of reinforcement learning and data assimilation, which are continuously being developed to make better predictions and decisions in critical areas such as climate change, weather forecasting, and medical research. Furthermore, you will be familiarised with IT tools such as cloud computing and data management, which are essential for modern data analysis.