Ph.D. Program Applied Statistics and Empirical Methods
New Ph.D. program "Data Science"
The Ph.D. program Applied Statistics and Empirical Methods will stop to admit new applicants at the end of 2024. We refer interested prospective students to the new Ph.D. Data Science program.Previous information
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 angewandte.statistik@uni-goettingen.de 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 angewandte.statistik@uni-goettingen.de.