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Overview

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

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. Program can apply for the Certificate Program in Applied Statistics and Empirical Methods. This also applies for students from research training groups (Graduiertenkollegs) since they are already enroled in a Ph.D. program.

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 contactangewandte.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

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. Program can apply for the Certificate Program in Applied Statistics and Empirical Methods. This also applies for 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 Program in Applied Statistics and Empirical Methods.

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

For further information about the application process please contact angewandte.statistik@uni-goettingen.de.

The PhD Degree in Applied Statistics and Empirical Methods is offered by Georg-August-Universität Göttingen

Teaching language

• German
• English

Languages

Some courses are held in German. The PhD thesis is written in English, and oral exams are taken in English.Programme duration6 semestersBeginningOnly for doctoral programmes: any timeTuition fees per semester in EURNoneCombined Master’s degree / PhD programmeNoJoint degree / double degree programmeNoDescription/content

Statistics play an increasingly important role in science, commerce and industry due to the increasing availability of data in all these areas. In many cases, data are of considerable heterogeneity and complexity, so statistical methods are an important means of extracting knowledge from the information provided by the data. In this sense, statistics is one of the key disciplines in the information era and statistics competencies are a prerequisite for scientific progress.
The doctoral degree programme in “Applied Statistics and Empirical Methods” is jointly provided by the Faculty of Medicine, the Faculty of Biology and Psychology, the Faculty of Agricultural Sciences, the Faculty of Forest Sciences and Forest Ecology, the Faculty of Social Sciences and the Faculty of Economic Sciences for the development of early career researchers in the area of statistics and their fields of application in various disciplines of natural, life and social sciences.
The PhD programme is hosted by the Centre for Statistics, and it offers profound statistical training at the PhD level. It is accompanied by a PhD thesis carried out in the Faculties of Agricultural Sciences, Biology and Psychology, Economic Sciences, Forest Sciences and Forest Ecology, Medicine, and Social Sciences. The programme offers lectures, lab courses and professional training.
The programme consists of five major parts dealing with (i) statistical methods, (ii) specialisation, (iii) research seminars, (iv) summer schools and conferences and (v) general skills training. The selection of courses is determined individually in accordance with students’ backgrounds and interests. To foster interdisciplinarity, students are encouraged to acquire cross-disciplinary, methodological knowledge.

Course organisation

Most of the coursework associated with statistical methods and specialisation will be based on lectures and exercise classes attended during the first year of the PhD programme. In later phases, research seminars will allow for more detailed and specialised interaction and will usually take place in the working group/faculty of the supervisor. A mandatory part of the PhD programme is participation in the summer schools of the Centre for Statistics, which provide a possibility for scientific exchange between all members of the Centre. The programme is rounded off by attendance at conferences and participation in skills courses.Course-specific, integrated German language coursesNoCourse-specific, integrated English language coursesNo

Tuition fees per semester in EURNoneSemester contributionFees amount to around 380 EUR per semester. The fees include a prepaid semester ticket that entitles students to use regional trains (in Lower Saxony and Bremen) and city buses in Göttingen free of charge. Students of the University of Göttingen receive discounts for cultural events. Meals and drinks are also available at reduced prices at all university canteens. 
Fee: http://www.uni-goettingen.de/fee
“Semesterticket”: http://www.uni-goettingen.de/en/16432.htmlCosts of livingThe average cost of living in Göttingen is modest compared to other major university cities in Germany. Currently, expenses for accommodation, food, health insurance and books are about 800 EUR per month. Please note that fees for health insurance may vary according to age. Living expenses might be slightly higher.
For further information, please see the following link: www.uni-goettingen.de/en/54664.htmlFunding opportunities within the universityNo

Academic admission requirements

Master’s degree or equivalent in mathematics, statistics, or one of the applied disciplines (such as life sciences, computer science, economics, forestry, mathematics, physics, psychology, or social sciences)

At least 30 credits from statistics must have been earned in the Bachelor’s/Master’s degree programme.Language requirements

Proficiency in English (at a level equivalent to TOEFL iBT 79 or IELTS Band 5.5)Submit application to

Georg-August-Universität Göttingen
Centre for Statistics
Humboldtallee 3
37073 Göttingen

E-mail: angewandte.statistik@uni-goettingen.de

Contact

University of Göttingen