Welcome to our webpage

Master in Statistics

Statisticians can be found in all economic sectors, pharmaceutical industry, clinical trials, agribusiness, but also in banks, insurance companies, and many more. Research (both theoretical and applied) also offers numerous jobs in statistics. This is particularly true for the academic sector.

The Master in Statistics aims at teaching students the difficult art of (i) transforming data into information and (ii) helping decision-makers or researchers from other fields to analyze this information most efficiently. The educational objective is not on providing a vast number of statistical procedures but to understand why and how such methods work. Our students are hence able to adapt methods to specific needs when working on concrete statistical problems, which often cannot be treated by textbook approaches.

We offer a two-year program consisting of compulsory courses, track-specific (theoretical, applied, or econometrics) and optional courses. The program is quite flexible and profits from the relatively small number of students which makes interaction possible. The structure and objective of our program necessitates a solid mathematical training, in particular in probability theory, analysis and linear algebra.

Structure of the program

1) Compulsary courses on basic statistics, taught in English
2) Two modules to chose from
  • Statistics: some courses taught in English, others in French
  • Econometrics: taught in English
3) Three specializations to chose from (in principle any combination with modules is possible)
  • Mathematical/theoretical statistics: most courses taught in English, a few (officially) in French
  • Applied statistics: Mostly in French
  • Quantitatve economics: Everything in English
4) Optional courses

Although in principle any combination of modules and specialisations is possible, it is recommended that students who take the module of econometrics, also add the option on quantitative economics. This combination constitutes a program of Economics and Statistics. This combination can be followed entirely in English.

For language issues, see the FAQs below.