- Degree
- Master of Science (MSc)
- Course location
- Saarbrücken
- In cooperation with
- • Max Planck Institute for Informatics
• Max Planck Institute for Software Systems
• German Research Center for Artificial Intelligence (DFKI)
• CISPA – Helmholtz Center for Information Security
- Teaching language
- • English
- Languages
- All courses and seminars are taught in English.
- Programme duration
- 4 semesters
- Beginning
- Winter and summer semester
- Application deadline
- International applications are very welcome. Application deadlines are:
• For any winter semester starting in October:
Early deadline: 15 November (notification at the latest in February of the following year in case of a positive decision)
Normal deadline: 15 May
• For any summer semester starting in April:
Early deadline: 15 May (notification at the latest in July in case of a positive decision)
Normal deadline: 15 November
- Tuition fees per semester in EUR
- None
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The Saarland Informatics Campus (SIC) at Saarland University is one of the top European locations for studying computer science and starting a scientific career. Along with the professors in Saarland University’s Department of Computer Science and Department of Language Science and Technology, scientists from the Helmholtz Center for Information Security (CISPA), the German Research Center for Artificial Intelligence (DFKI), the Center for Bioinformatics Saar, the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems teach in the Data Science and Artificial Intelligence programme. This is a unique combination in Germany!
The Master’s programme in "Data Science and Artificial Intelligence" is based on complex data analysis and automation: from mathematics and statistics to machine learning, artificial intelligence, big data, data management, modelling, simulation and data visualisation. Techniques from very different disciplines complement each other to analyse data, automate processes, and construct and process models that enable autonomous action.
During the first three semesters, students choose lectures and seminars (90 credit points). They can choose courses (core lectures, advanced lectures, and seminars) in their own fields of specialisation. During the fourth semester, every student has to write a thesis (30 credit points).