- Degree
- Master of Science Social and Economic Data Science
- Course location
- Konstanz
- Teaching language
- • English
- Languages
- All core courses of the programme are offered in English. There are some elective courses that are offered in German (approx. 20%), and all other courses are held in English (80%). International students without any German knowledge are able to fully participate in the programme.
- Full-time / part-time
- • full-time
- Mode of study
- Fully on-site with voluntary online elements
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- • Start: Winter semester (1 October)
• Mode: On-site learning
- Application deadline
- 30 April for the following winter semester
- Tuition fees per semester in EUR
- Varied
- Additional information on tuition fees
- You find all information about tuition fees and scholarships (https://www.uni-konstanz.de/en/international-office/study-in-konstanz/degree-studies/fees-and-scholarships/) on our website.
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- No
- Description/content
- The SEDS programme at the University of Konstanz combines cutting-edge research with a hands-on approach to the study of social and economic data. It is designed for students who want to gain a deep understanding of complex societal challenges and learn how to address them with advanced analytical tools.
Throughout the programme, you will acquire strong foundations in data science, social science theory, and methodological skills. Our interdisciplinary curriculum allows you to explore economic behaviour, social dynamics, and political processes through the lens of modern data analysis.
Whether in courses, research projects, or different collaborations, you will be trained to think critically, work across disciplines, and translate data into meaningful insights. By the end of your studies, you will be equipped with the expertise to pursue careers in academia, policy-making, or data-driven industries.
The MSc in Social and Economic Data Science is ideal for students from social and behavioural sciences with a strong interest in quantitative and computational methods. A background in one of the following areas is recommended:
• Political Science
• Computer Science
• Economics
• Statistics
• Mathematics
• Psychology
• Sociology