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.
The Ph.D. program is specially designed for:
- Ph.D. students who are interested in a statistical or empirical Ph.D. project
- Ph.D. students who's supervisor is a member of the Centre for Statistics
- 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
- computer sciences
- forest sciences
- social sciences
The study programme:
In total 27 credit points will be accumulated. These credits will be gained by passing courses in the following areas:
at least 12 ECTS on statistical methodology at least 4 ECTS on specialization courses research seminars (4 ECTS) summer schools and conferences (3 ECTS) key competencies (4 ECTS)
Ph.D. students from Georg-August-University Göttingen and other Universities, who need further skills in statistical or empirical methods for their project and are not eligible for the Ph.D. The program can apply for the Certificate Programm in Applied Statistics and Empirical Methods. This also applies to students from research training groups (Graduiertenkollegs) since they are already enroled in a Ph.D. program.
Postdocs and non-academic professionals, who want to acquire further skills in statistical or empirical methods can also apply for the Certificate Programm in Applied Statistics and Empirical Methods.
This school offers programs in:
Last updated February 14, 2018