Master of Science in Statistics


Study overview

Professions are becoming increasingly multidisciplinary. It is no longer enough to master only one technological or managerial field; it has become necessary to know how to combine aspects from several disciplines, in order to manage a coherent body of information and data.

In this sense, the field of statistics plays an important role as it helps us to sort out information, keeping only that which is essential to draw relevant conclusions.

  • Programme structure

    Programme structure

    The importance of statistical tools becomes clear when one considers the steadily increasing flow of raw data that needs to be processed. Statistics also plays an important role in health fields, especially in epidemiology and medicine. In epidemiology, vaccination programs have been the subject of statistical studies. Here, the aim is to determine the population segments most susceptible to a disease, the rate of disease vector transmission, and the consequences of vaccination. In medicine, clinical trials are particularly useful in comparing various treatments to demonstrate the effectiveness of new medications.

    Skills acquired and objectives

    The objective of the Master’s degree in Statistics is to train students to become independent statisticians, ready to enter and operate in the professional environment. Statistical methodology and applications are undeniably indispensable. Training in Statistics must combine experimental, practical and theoretical aspects. 

    The Master’s degree in Statistics is particularly designed to equip students with these vital skills. The programme provides solid training in statistical theory and applied methods in practical experience. It caters to both university students and professionals.

    Course structure

    The Master’s degree programme is divided into two semesters, each lasting 14 weeks and followed by a semester for the thesis or final report. It is comprised of regular courses, seminars, elective courses and applied research projects. Classes are concentrated within one part of the week.

    The Master’s degree is awarded when students have obtained 60 course or seminar credits, and have written a thesis that passes review by a thesis committee (the thesis is worth 30 credits). A total of 90 ECTS credits is therefore needed in order to obtain the Master’s degree.

  • Professionnal perspectives


    Students that have already successfully completed the program occupay high-ranking positions in various well-known entreprises and organizations or in the field of public statistics, biostatistics or finance. 

  • Admission criteria

    Admission criteria

    The MSc is open to all students in possession of either a Bachelor’s degree in Sciences, Economics or Human Sciences, or of any other degree deemed equivalent by the admissions committee.

    The prerequisite is a sufficient level in mathematics (analysis and linear algebra) and statistics (inference and linear modelling).

Specific strengths

Courses in the MScSTAT programme are taught by internationally recognized visiting professors and the faculty of the Institute of Statistics (ISTAT). Research interests include sampling, estimation, semi-/non-parametric methods, multivariate statistics, data mining and complex data analysis. ISTAT maintains constant and productive collaboration with the Swiss Federal Statistical Office. Public as well as private organizations engage the Institute for a range of different projects.


Degree awarded
Master of Science in Statistics
90 ECTS, 3 semesters
Teaching language
uk.png English

Master's programme information