The MSc specialisation in the Life and Behavioural Sciences focuses on statistics in the broad sense, with biostatistics (for general medicine and life sciences) and statistics in the behavioural sciences. Some of the key words are longitudinal analysis, genomics, genetics, high dimensional (“big”) data, medical imaging, psychometrics and sensory metrics. The emphasis is on application in multidisciplinary environments of the life and behavioural sciences.
Students will gain a thorough knowledge and understanding of statistical models, including their application and interpretation in a broad range of empirical research. They are able to critically study scientific research and develop new models and techniques.
Students learn practical skills such as statistical programming, statistical consultation, and written and oral presentation of analysis and research results.
The Statistical Science: Life & Behavioural Sciences specialization is structured as follows:
|Statistics and Probability||9|
|Mathematics for Statisticians||3|
|Statistical Computing with R||6|
|Linear & Generalized Linear Models and Linear Algebra||9|
|Multivariate and Multidimensional Data Analysis||6|
|Mixed and Longitudinal Modelling||6|
|Advanced Statistical Computing||3|
|Study Designs in the Life and Behavioural Sciences||6|
|Introduction to the Life and Behavioural Sciences||3|
|Elective Courses (choose 4 out of 8 courses)||EC|
|Statistical Learning Theory||6|
|Psychometrics and SEM||6|
|High-Dimensional Data Analysis||6|
|Survey Data Analysis||6|
|Optional Course 1||6|
|Optional Course 2||6|
|Internship, Master Thesis||EC|
Together this makes a total of 120 ECTS. Find more information about our other specialization here.
NB. The programme might change from year to year. Always look at the Course and Examination Rules of the year you started your study.