Statistics, Master

  • Application Deadline
  • 18 months
  • Tuition
    Tuition (Semester)
    Tuition (Semester)
  • English (take IELTS)
University of Geneva ,
The Master in Statistics focuses on data analysis, methodological problem-solving in a range of disciplines, various types of statistics software or mathematical statistics. The programme is open not only to experts who wish to improve their theoretical skills in statistical research, but also to non-experts who wish to develop their data analysis skills in an area of specialisation acquired at the Bachelor level.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding


This Master of Science program offers a degree in Statistics aimed at specialists and non-specialists alike. Emphasis is placed on data analysis and applied methods in a variety of disciplines. Training in mathematical statistics is also offered.

The Master of Science in Statistics degree is recommended not only to specialists wishing to broaden their theoretical knowledge for further work in statistical research but for non-specialists as well who wish to acquire further knowledge of data analysis and apply it to their area of specialization developed at the Bachelor's level.


Master students at the GSEM may go on exchange for one or two semesters. Students may go on exchange as early as their second semester. They may earn up to 30 credits while on exchange. The dissertation cannot be substituted.


The Master of Science in Statistics opens doors to opportunities in various industries: in agrolimentaire industry, international organizations, in (cantonal and federal) statistics offices, in financial companies, biostatistics (in the pharmaceutical industry ) and in many other areas. Finally, , the continuation of studies with a doctorate is also an option available to students who have completed the master.

Programme Structure

  • Required courses (30 Credits):
  1. Generalized Linear and Additive Models
  2. Mixed Linear Models
  3. Multivariate Analysis
  4. Sampling Techniques
  5. Statistical Consulting
  6. Time Series
  • Electives (30 Credits)
  • Dissertation (30 Credits)

Detailed Programme Facts

  • Full-time duration 18 months
  • Study intensity Full-time
  • Credits
    90 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
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Academic Requirements

In order to be eligible for admission, the applicant must have, as a minimum requirement, qualified for a Bachelor degree. Students who have been awarded a licence, a DEA or a Master's degree are invited to apply.

Students who have acquired a good level of mathematics at secondary school level (i.e.French Baccalauréat or Swiss Maturité ) who have a good command of basic computer tools, who have taken an introductory course in statistics during their undergraduate studies and have a good command of English (written and oral comprehension skills necessary for reading documents and attending lectures) have the ideal profile for our master.

Those who have a more solid background in mathematics and statistics can choose more methodological courses as well. The scientific committee may, however, decide to accept applicants with the proviso that they subsequently pass some or all the courses of the complementary program (maximum 30 credits).

Tuition Fee Per Semester

  • EUR 457 International
  • EUR 457 EU/EEA
  • Tuition fee is 500 CHF per semester


StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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