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New UA-Ruhr course MSc Econometrics (starting Winter Term 2019/20)

Econometrics is a four-semester, English-language master’s program of TU Dortmund University (TUDO), Ruhr-University Bochum (RUB) and the University of Duisburg-Essen (UDE). The program is offered jointly by the faculties of economics of the three universities and the Faculty of Statistics @ TU Dortmund University. It combines the expertise and breadth of the participating faculties in empirical economic research and economics with the methodically oriented training of the statisticians and econometricians at Germany’s only Faculty of Statistics. This unique combination of training and research skills allows to offer a specialized curriculum for quantitatively-oriented students which covers a wide range of topics in econometrics and applied economics.

Students acquire the ability to combine methodological competence with proficiency in economics. They gain extensive knowledge of econometric methods and models and an in-depth understanding of central economic causal relationships and resulting econometric issues. The program particularly supports research-interested students in developing analytical skills with regard to specific research questions in economics and thus prepares optimally for a doctorate in econometrics or neighbouring disciplines. The master’s program in Econometrics thus prepares well for a career in econometrics, empirical economic research, evidence-based policy consulting, or operational research.

Winter Term 2020/21

  • Statistical Theory - Probability Theory (C. Jentsch, J. Steinmetz)
  • Statistical Theory - Asymptotic Theory (C. Jentsch, S. Hossain)
  • Financial Econometrics (C. Jentsch)
  • Julia-Kurs (S. Hossain)
  • Seminar: Text data meets econometrics (C. Jentsch, J. Rieger, N. Benner)

Summer Term 2020

Winter Term 2019/20

Summer Term 2019

 

Winter Term 2018/19

 

Summer Term 2018

 

Winter Term 2017/18

 

Summer Term 2017 

  • Lineare Modelle


Winter Term 2016/17

 

Summer Term 2016

 

Winter Term 2015/16

  • Statistik III
  • Zeitreihenanalyse

 

Summer Term 2015 

  • Lineare Modelle
  • Sequentielle Verfahren