Master in
Statistics

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.

Programme length

1.5 years (3 semesters)

Language of instruction

English

Conditions of registration

www.unige.ch/conditions/MA

Admission Conditions

www.unige.ch/gsem/en/programs/masters/admissions

Applications

Deadline: 28 February 2025

www.unige.ch/enrolment

Master in Statistics

3 semesters (max. 5 semesters) | 90 ECTS credits
Core courses (42 credits):
  • Analytics Consulting
  • Applied Bayesian Statistics
  • Linear Models for Dependent Data
  • Machine Learning
  • Modern Flexible Regression
  • Multivariate Analysis
  • The Statistical Analysis of Time Series
Elective courses (18 credits):
  • Theoretical Statistics
  • Advanced Topics in Machine Learning
  • Data Driven Impact Evaluation
  • Econometrics
  • Experimental Design: Theory and Practice
  • Financial Econometrics
  • Fundamental and Advanced Sampling Techniques
  • Institutional Project
  • Models and Empirical Methods for Asset Pricing
  • Research Seminar in Statistics
  • Stochastic Processes in Finance
  • Workshop 2A: Practice of Sustainable Human Developement

+ 7 possible courses outside the faculty

Master Thesis (30 credits)
A complementary programme may be requested from students during the first year (max. 30 credits).

Videos

Student testimonials

Presentation

Mobility

Master students at the GSEM may go for on exchange from their 3rd semester, for one semester maximum. They may earn up to 30 credits while on exchange.

www.unige.ch/exchange

Professional Prospects

Master of Science in Statistics opens doors to opportunities in various industries: in food and beverage 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.

Contact information

[javascript protected email address]