Data Science in Business and Economics

Study Type

graduate

Admission semester

Winter Semester only

Target group

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

Annotation

To be newly established for the winter semester 2019/2020.

Admission modus

Local admission restriction

Admission requirements (Link)

Admission requirements

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

Fees

Fees (Link)

All information about tuition fees for international students (EUR 1,500 per semester) and for a second degree course (EUR 650 per semester) can be found on our website.