Ph.D. Program Applied Statistics and Empirical Methods

The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen.

Important note: Students will have to find a supervisor and funding for their thesis project before applying. The supervisor has to be a member of the Centre for Statistics. A list of the members of the Centre for Statistics can be found here.

If you already have a supervisor from the Centre for Statistics and want to apply, please contact for further information.

The Ph.D. program is especially designed for
  • Ph.D. students who are interested in a statistical or empirical PhD project
  • Ph.D. students who's supervisor is a member of the Centre for Statistics

Admission requirements:
  • sound knowledge of basic statistics and methodology (30 ECTS or equivalent; with 15 ECTS a conditional admission is possible)
  • adequate skills in English language (language requirements)
  • a Master or Diploma (or equivalent) in one of the following fields:
    • agricultural sciences
    • biosciences
    • computer sciences
    • economics
    • forest sciences
    • mathematics/statistics
    • medicine/epidemiology
    • physics
    • psychology
    • social sciences

The study program:
In total 27 credit points will be accumulated. These credits will be gained by passing courses oin the following areas:
  • at least 12 ECTS on statistical methodology
  • at least 4 ECTS on specialisation courses
  • research seminars (4 ECTS)
  • summer schools and conferences (3 ECTS)
  • key competencies (4 ECTS)

Moduls overview

Further courses can be found in: Additional modules

For further information about the application process please contact