- Degree
- Master of Science
- Course location
- Stuttgart
- In cooperation with
- Optional double Master's degree programme with University of Liège (Belgium)
- Teaching language
- • English
- Languages
- The programme can be studied entirely in English. All courses of the basic Master's studies and the special fields are held in English. Within the special fields, two modules out of the field of business administration can be chosen. Some of them are held in German. The Master's thesis is usually written in English.
- Full-time / part-time
- • full-time
- Mode of study
- Less than 50% online
- Programme duration
- 4 semesters
- Beginning
- Winter semester
- Additional information on beginning, duration and mode of study
- Lectures and exercises are partly online. Exams are mostly on-site.
- Application deadline
- 15 May for the following winter semester (all applicants)
- Tuition fees per semester in EUR
- Varied
- Additional information on tuition fees
- Currently, higher education is (almost) free at all public universities in Baden-Württemberg. Since the winter semester of 2017/18, universities in Baden-Württemberg charge moderate tuition fees for non-EU international students. These fees amount to 1,500 EUR per semester. Students from the EU and the European Economic Area (EEA) as well as exchange students are excluded from these fees. Refugees are also not affected.
- Combined Master's degree / PhD programme
- No
- Joint degree / double degree programme
- Yes
- Description/content
- The Master’s programme in Economics with Data Science offers a comprehensive and innovative education over four semesters of full-time study. Designed for those who want to combine economic theory with cutting-edge Data Science and Artificial Intelligence (AI), the programme provides both a strong theoretical foundation and hands-on experience with modern analytical tools.
A defining feature of this programme is its systematic integration of Data Science and AI methods — from traditional machine learning to emerging generative AI — within an economic context. Students gain a deep understanding of economic principles while mastering advanced data analysis techniques. They learn to collect and structure large datasets, simulate economic models (including AI-driven simulations), and produce databased forecasts and empirical insights. This explicit emphasis on new technologies positions graduates to tackle real-world challenges and adapt to an ever-evolving industry.
- Current information
- For further information on this degree programme, we invite you to attend our Master's info event (online via zoom): https://www.uni-hohenheim.de/en/masters-informational-events (https://www.uni-hohenheim.de/en/masters-informational-events).