Understanding data about human behaviour is an important and valuable skill in today's society. The police use data to predict the risk of burglary by area and week of the year, whereas insurance companies adjust their prices based on client data, and schools adjust educational programmes based on what is known about student progress. Companies, public institutions and governmental organisations: they all use the continuous stream of big data to describe and predict human behaviour.
Do you want to know more about Behavioural Data Science? You can visit our online open day page any time to delve into this study programme. Watch videos, talk to students and deepen your knowledge. Or sign up for an online event or open day.
Student Martha always liked solving puzzles. As she got older, she got quite interested in human behaviour and psychology. In this Master's track, while programming, she saw the connection between solving a puzzle and a programming task. In this video, she shows you what a day in the life of a student looks like.
Unlocking the full potential of these vast amounts of behavioural data requires a thorough understanding of data science techniques and human behaviour modelling. The Behavioural Data Science Master's track aims to combine the two. The programme draws on knowledge of psychology, research methodology and applied statistics at the undergraduate level, followed by training in advanced (big) data techniques, academic skills, as well as practical and professional skills.
There is a high demand for trained data scientists, which means that the career prospects are very promising. The career prospects are therefore very good. This master's track covers a wide range of topics and skills. You have the opportunity to specialise in specific areas of behavioural data science.
Graduates of the track have gone on to work as:
Are you interested in
Then Behavioural Data Science might be the track for you!
|Degree programme||MSc Psychologie|
|Credits||60 ECTS, 12 months|
|Language of instruction||English|
|Conditions for admission|