This course offers training in basic psychology, decision making, behavioural economics, and state of the art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualization.
Candidates will be able understand large-scale patterns in data with an eye to understanding the underlying factors driving human behaviour. This can be used to understand economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels.
The typical candidate for this programme is one who already holds an undergraduate Honors degree in a quantitative subject including Psychology, Economics, Sociology, Mathematics, Engineering, Physics, and Computer Science. Previous experience in behavioural science is not necessary, but students should have basic programming skills in at least one programming language.
The Behavioural and Data Science MSc will produce graduates who:
have a theoretical understanding of key theoretical questions and results in behavioural science;
can access and analyse large-scale datasets;
can utilize state-of-the-art techniques in data analysis and visualization;
are able to design and conduct studies using data analysis to understand behaviour.