Taught course

Behavioural and Data Science

University of Warwick · Department of Psychology

Entry requirements

We are only able to accept students with a solid quantitative background (2.i in quantitative field with demonstrated experience in maths or programming), students with an extremely strong social science background (First or equivalent), or students who have solid evidence of programming experience and a solid generalist background (2.i in chosen field).

The MSc in Behavioural and Data Science is a quantitative degree and students should feel comfortable taking a mathematical approach to their thinking before they join the course.

Months of entry


Course content

Understand the underlying factors driving human behaviour on Behavioural and Data Science MSc. Warwick's Psychology department offers you training in basic psychology, behavioural economics and state of the art methods in data science and analytics.

This course offers training in the foundations of psychology, decision-making, behavioural economics and behaviour change. It will also develop your understanding of state-of-the-art methods in data science and data analytics, focusing on statistical methods, machine learning, and data visualisation.

You will gain an understanding of large-scale patterns in data, with an eye to comprehending the underlying factors driving human behaviour. This can be used to understand consumer behaviour, economics, politics, history, wellbeing, and many other large-scale patterns at national and international levels. Previous experience in behavioural science is not necessary, but you should have programming skills in at least one programming language (e.g., R, Python, Matlab, or others).

Information for international students

You can find out more about our English language requirements. This course requires the following:

  • Band B
  • IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Postgraduate Admissions
+44 (0)24 7652 4585