RUB » Study » Programmes of Study » Econometrics » Master 1 subject


... looks into questions such as ...

  • How do different econometric Methods work?   
  • How can the validity of a method be proven?   
  • How can an econometric method be refined?   
  • How can economic issues be translated into data-analytic problems?   
  • What impact do kindergarden fees have on women's job market decisions?   
  • What success had the introduction of the rent cap in avoiding segregation?

Degree programmes


Econometrics, Master 1 subject


Degree: Master of Science
Start: Winter semester
Duration: 4 semesters
Classroom language: English

Detailed information for international applicants

What's it all about?

This degree programme is unique, because ...

It combines the expertise in empirical economic research and economics from the faculties of economics at the three UA Ruhr universities with the methodological training at the Faculty of Statistics at TU Dortmund. By bundling training and research competencies, it thus offers a specialised curriculum covering a broad range of econometrics and economics subject areas.

It provides the opportunity to specialise in the following fields
  • Economic theory
  • Econometric methodology
  • Applied econometrics

Who is suited?

Those who wish to enrol in this degree programme,


  • a Bachelor's degree in an economics or mathematics/statistics field.
  • good englisch skills


  • understanding econometric methods and
  • their application in relevant economic research issues.

…struggles through:

  • statistical theory and complex data analyses.
This degree programme is suited for graduates in the following subjects
  • Economics
  • Statistics
  • Mathematics
  • and related disciplines
Graduates from this degree programme frequently work
  • In econometrics research
  • In empirical economic research
  • In evidence-based political consultancy
  • In operations research

And else?

Studying abroad ...

can be done voluntarily.

Where do I find help?

Academic advisory office

Kim Docter, M. A.
Building, Room: GD 03/229
Phone: +49 (0)234 / 32-22762
Website academic advisory office

Contact students

Fachschaft Statistik der TU Dortmund
Website Fachschaft