Master of Science in Economics with Data Science

University of Hohenheim · Stuttgart, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
Full-time
Campus
Stuttgart
Apply by
Register by 15 May 2027
Starts
Winter semester

University of Hohenheim does not publish a fee for this programme on its own. Its published rate for master's programmes is €3,000 a year for international students.

Entry requirements and how to apply

Entry requirements
To succeed in this advanced economics programme with a strong data science component, applicants are expected to demonstrate the following qualifications and motivation: A Bachelor’s degree in Economics or a closely related field Fluency in English, both spoken and written A strong foundation in mathematics and statistics, including probability theory and econometrics Prior exposure to statistical or programming tools (e.g. R, Python) is helpful but not required. An intrinsic interest in economic thinking, questions, and applications
English language requirement
B2 required, please provide an official language certificate, e.g.: TOEFL iBT (before 2026): 90 TOEFL iBT (since 2026): 4.5 IELTS Academic: 6 UNIcert® English: UNIcert® II
German language requirement
No minimum language level required
Application period
The following is valid for applicants from: all countries For the winter semester: until 15 May
Apply through
Please check this website .

About this programme

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.

Related pages

Other degree programmes at University of Hohenheim