Data Science is a vibrant, interdisciplinary and rapidly growing field.

Data scientists must be able to acquire and understand complex and unstructured data, they must be able to interpret the meaning of the results, and they must be able to communicate the results to relevant stakeholders. Hence, Data Science requires a unique combination of (1) econometrics and statistics, (2) programming skills, and (3) domain knowledge.

This four-semester M.Sc. program reflects these requirements for a unique skill set, and students who enrol in this programme specialize in econometrics and they select from a broad set of modules on different aspects of business and economics. On top of that, they enrol in modules on data science techniques, which includes programming in R and python as well as the possibility to enrol in courses in Machine Learning in collaboration with the computer science department.

Areas of Specialization

Econometrics
Data Science Techniques
Business and Economics

Earlier application deadline of 15 May.
Restrictions on admission even in higher study semesters