University of Warwick

What you'll study

This MSc emphasises the integration of behavioural theory with quantitative and computational methods. Core topics typically include statistical inference and causal analysis, supervised and unsupervised machine learning, experimental design and field experimentation, computational modelling of behaviour, and data visualisation. You will learn programming for data analysis (commonly Python and/or R), database and data-processing skills, and techniques for working with large and messy behavioural datasets (including clickstream, mobile-sensor or transaction data).

Teaching is usually a mix of lectures, practical labs, seminars and a substantial independent project or dissertation. Typical modules cover:

• Foundations of Behavioural Science — theories of judgement and decision-making, heuristics and biases, social influences.
• Statistical Methods and Causal Inference — regression, Bayesian methods, propensity scores, instrumental variables, randomized controlled trials.
• Machine Learning for Behavioural Data — classification, clustering, model evaluation, feature engineering for human-data.
• Experimental Methods and Field Trials — lab experiments, A/B testing, ethical concerns and pre-registration.
• Computational Modelling and Agent-based Approaches — models of decision processes and population dynamics.
• Data Ethics, Privacy and Policy — ethical frameworks, regulation, responsible-data practice.
• Capstone Project / Dissertation — an independent empirical or applied piece of work, often conducted in collaboration with an academic group or external partner.

Entry requirements

Applicants are normally expected to hold a good undergraduate degree (typically a UK upper second-class honours/2:1 or equivalent) in a quantitative or numerate subject such as statistics, computer science, mathematics, economics, engineering, or psychology with substantial quantitative content. Admissions committees look for evidence of academic ability in quantitative methods, programming or data analysis; some practical experience analysing data (through coursework, internships or employment) is advantageous.

For applicants whose first language is not English, an approved English language qualification is required. The programme may also consider applicants with non-standard backgrounds if they can demonstrate strong quantitative potential through prior study, professional experience, or supplementary course work.

Career prospects

Graduates move into roles that combine data analytics with behavioural insight. Typical job titles include data scientist, behavioural or insights analyst, product analyst, UX researcher, behavioural economist, policy adviser, and consultant. Employers span technology companies, financial services, government and public policy organisations, healthcare and pharma, marketing and advertising agencies, and specialist behavioural-insights consultancies.

The programme equips students with both technical skills (programming, statistical modelling, machine learning) and transferable skills (experimental design, communication of evidence to stakeholders, ethical judgement), making graduates attractive to teams that need to translate human behaviour into actionable interventions and measurable outcomes.

Why study at University of Warwick

Warwick offers a strong interdisciplinary environment bringing together expertise in psychology, statistics, computer science and business, enabling a curriculum that bridges theory and applied analytics. Students benefit from access to active research groups and facilities focused on behavioural research and data science, and there are frequent seminar series and workshops that connect students with academics and industry practitioners.

The university has strong links with industry and public-sector partners, providing opportunities for project collaborations, placements and guest-led teaching. Small-group teaching and practical lab sessions ensure hands-on experience, while the dissertation or capstone project allows students to develop a portfolio piece that demonstrates applied competence to prospective employers.

Overall, Warwick's combination of disciplinary breadth, applied focus and industry engagement makes it a suitable choice for students seeking to apply data-driven approaches to real-world behavioural challenges.