Doctoral Programs

PhD in Statistics

The Ph. D. program in Statistics has had a long standing tradition within the former Department of Econometrics of the University of Geneva and ever since January 2014 is offered by the Geneva School of Economics and Management. Master students, with a solid background in Mathematics or Statistics, are strongly encouraged to apply for admission. Motivated students, with a quantitative background in a different field, are also eligible for admission. The doctoral studies normally take three to five years to complete. The offered lines of research are both methodological and applied and include applications in Finance, Biology and Engineering. 

Program summary

The PhD program lasts usually five years, including about two years

Students are required to submit the thesis subject within the deadline set by the Scientific committee (but no later than four semesters after admission). The Ph. D. manuscript should be submitted at the latest during the 9th semester. Within 3 months, the thesis committee and the Ph. D. candidate meet in a form decided by the president of the thesis committee to discuss the thesis. At the end of the meeting, the thesis committee requests possible changes. The final Ph. D. thesis must be submitted within a fixed time limit, not exceeding six months, and not beyond the maximum limit of the Ph. D. studies. Once the changes are accepted, the public defense of the final manuscript takes place.

financial support

The Ph. D. positions are financed through teaching assistant positions, which are usually posted in the section Jobs

courses

The Ph. D. program does not require the acquisition of a specific number of credits at the end of the first year. However, upon admission, the Scientific committee might demand the successful completion of certain examinations/courses.

Here is a list of courses and seminars presently offered that Ph. D. students can take during their studies : 

PhD thesis

Please consult our webpage on Research at the Research Center for Statistics.

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