Behavioural Data Science (track)
University of Amsterdam / Amsterdam (NL)Apply on site
Understanding data about human behaviour is an important and valuable skill in today's society. Companies, public institutions and governmental organizations — they all use the continuous stream of big data to describe and predict human behaviour.
The police use data to predict risk of burglary by area and week of year, insurance companies adjust their prices based on client data, and schools adjust educational programmes based on what is known about student progress.
Leveraging the full potential of these massive amounts of behavioural data towards these goals greatly benefits from a thorough understanding of data science techniques and human behaviour modelling. The master's track Behavioural Data Science aims to combine these two. The programme assumes knowledge of psychology, research methodology, and applied statistics at an undergraduate level, and continues with training on advanced (big) data techniques, academic skills, as well as practical and professional skills.