COURSE CURRICULUM

The MSc Behavioural Data Science programme provides a specialised curriculum that integrates psychology, statistics, and computational methods to understand and analyse human behaviour using data-driven approaches. Students develop strong quantitative and programming skills through Computational Statistics for Behavioural Data Science and Python for Behavioural Data Science and Statistics, which focus on statistical modelling, data manipulation, and computational problem-solving. The Psychology of Cyberspace and Online Behaviours module explores how individuals and groups behave in digital environments, including social media, online communication, and digital decision-making. In Visualisation of Behavioural Data and Data Dashboards, students learn how to present complex behavioural datasets in clear, accessible, and interactive formats to support interpretation and decision-making. Data Analysis for Cognitive Neuroscience introduces methods for analysing brain and cognitive data, linking behavioural science with neuroscience research. The Testing Psychological Theories Using Structural Equation Modelling module enables students to evaluate and test theoretical models of behaviour using advanced statistical techniques. Professional Skills for Behavioural Data Science focuses on employability, communication, teamwork, and ethical practice in data-driven roles. The programme culminates in a Behavioural Data Science Research Project, where students undertake independent research applying psychological theory and data science methods to real-world behavioural problems. Overall, the course equips graduates with a unique combination of analytical, technical, and psychological expertise for careers in data science, behavioural analytics, research, consultancy, and technology-driven industries.