Study Programme

Programme outline

First semester Second semester
First year  
  • Survey Data Analysis 7.5 EC
  • Multivariate Statistics 7.5 EC
  • Fundamentals of Statistics 7.5 EC
  • Computational Inference with R 7.5 EC
  • Psychometrics 7.5 EC
  • Introduction in Multilevel and Structural Equation Modelling 7.5 EC
  • Bayesian Statistics 7.5 EC
  • Introduction to Biomedical Statistics 7.5 EC
Second Year
  • Elective courses and Research Experience 15 EC
  • Research Seminar  7.5 EC
  • Preparation Master's Thesis 15 EC
  • Master’s Thesis 22.5 EC

You can find detailed descriptions on the 'courses' page.


In the first year, you will gain a strong foundation in research methodology and applied statistics. You will also explore how methodology and statistics can contribute to research performed in the behavioural, biomedical, and social sciences.


In the second year, you will start to specialise in the research area that interests you most. Typically, this will be in a collaborative project with other disciplines/organisations, where you will prepare for and write a thesis. You can choose to pursue your own, free track or choose the EMOS track, where the 15 EC of the elective courses is filled in with the EMOS Core Module.

If desired, you can go abroad for this part of your programme. In addition, you will be involved in the statistical consultancy activities of our departments. 


Due to the nature of our education and training, we expect students to possess a laptop for use during the Master’s programme. More information on the specific requirements for the laptop will follow after your acceptance.

Bring Your Own Device

If you are taking any computer-based classes, please bear in mind that you might be expected to bring your own laptop. As a UU student, you'll have access to practically all study software via your own laptop, free of charge, wherever you are. Read all about BYOD.

This unique programme connects students from diverse cultures and different countries, and teachers from different universities. They share a passion for statistics and their applications in real life: it is really a great group to be part of.
Jean-Paul Fox, University of Twente
Prof. Jean-Paul Fox, University of Twente