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Explore our Behavioural and Economic Science (Science Track) taught Master's degree.

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A student and member of staff from Psychology having a conversation.

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P-C8P7

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MSc

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1 year full-time

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30 September 2024

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University of Warwick

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Our MSc in Behavioural and Economic Science (Science Track) combines multidisciplinary expertise from the departments of Psychology and Economics, as well as Warwick Business School. This course offers you training in basic psychology and behavioural economics, whilst allowing you to focus on the cognitive science of judgement and decision-making.

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This innovative course in the growing area of decision science and behavioural economics combines multidisciplinary expertise from the Department of Psychology, Department of Economics and Warwick Business School (WBS). The course emphasises both theoretical foundations and real-world application of core and advanced areas of behavioural economics, and the cognitive science of judgement and decision making. The Science Track variation of the course is designed for students with a first degree in a science-based subject, such as Psychology, Maths, Biology, etc. or a subject with a strong quantitative element, such as Business, Finance, etc.

A variation of the course is offered by the Department of Economics and is available if you have a first degree in Economics.

Skills from this degree

By the end of the course, you should be able to:

  • Gain a deeper understanding of how and why people make the choices they do
  • Understand how influencing such choices is important across a variety of domains, from public policy (e.g. encouraging people to save for pensions), through to industry (e.g. how to place a new product in the market), and individual behaviour (e.g. why people drink and eat too much).
  • Develop a theoretical understanding of key models and results in behavioural economics and judgment and decision making
  • Design, conduct and analyse behavioural experiments
  • Implement models of choice
  • Access and analyse large-scale datasets
  • Initiate economic enquiry and test economic models
  • Assess and deploy potential behavioural interventions

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You will have a combination of lectures, seminars, and practical classes/workshops, depending on the module. Lectures introduce you to a particular topic, seminars build on that knowledge, and practical classes/workshops allow you to put what you are learning into practice alongside tutors knowledgeable in the topic.

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Class sizes will naturally vary, however this course typically has around 25-30 students.

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Teaching occurs throughout the week, with an average of 8-12 hours of lectures and 5-7 hours of workshops, practical classes and/or seminars per week. You will also have meetings with your personal tutor at regular intervals throughout your course.

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We typically assess modules through a mix of assessment types, which include worksheets, essays, research reports, modelling and data analysis, class tests, exams, and presentations.


Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.

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2:1 undergraduate degree (or equivalent) in a related subject.

The MSc Behavioural and Economic Science is a quantitative degree and you should feel comfortable taking a mathematical approach to your thinking.

On the MSc we cover the use of statistics to make sense of behavioural data (e.g. regression and ANOVAs). We introduce the R and Matlab programming languages for statistics and mathematical modelling (though we do not assume you have previous experience of these languages). We use maths in economic and psychological models.

You should be familiar with some of: elementary calculus, basic geometry, a really basic knowledge of sets, functions like logarithms, exponentials, powers, probability and probability distributions. You do not need to know all of these things, but you should not be frightened about learning about them! Such a quantitative approach is a really great way to understand data from field studies and experiments, and big data sets and surveys. It is also a great way to formalise and think about ideas about how people behave and the aggregate consequences of this behaviour.

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  • 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.

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There are no additional entry requirements for this course.

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You will usually study three core modules across Psychology, Economics, and WBS, as well as complete a Behavioural and Economic Science project during the summer.

The three modules usually include:

Behavioural Microeconomics

The aim of this module is to examine the foundations of microeconomic analysis from a behavioural perspective and introduce basic microeconomic concepts to non-economists. It will achieve this objective by subjecting many of the fundamental assumptions made in standard undergraduate degree courses to close critical scrutiny. It will familiarise you with recent research developments in behavioural economics and the possible implications for theory and policy raised by these developments.

Issues in Psychological Science

This module covers core psychology and behavioural science content relevant to later modules in the degree, including memory, attention, perception, personality and individual differences, choice, and subjective well-being. It will provide you with the psychological background to enable you to understand and critically evaluate material on those later modules. Through a combination of lectures, seminars, and laboratory-based sessions, you will learn about both models and data in the relevant areas of psychology. You will also learn basic MATLAB programming and model implementation.

Methods and Analysis in Behavioural Science

The purpose of the module is to introduce you to experimental design and statistical programming. Behavioural scientists need statistical analysis of experimental data and of large data sets. This module covers these topics to allow you to understand how to test hypotheses, plan experimental design and perform statistical analysis using R.

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  • Experimental Economics
  • Behavioural Economics
  • Principles of Cognition
  • Psychological Models of Choice
  • Behavioural Change: Nudging and Persuasion
  • Bayesian Approaches in Behavioural Science
  • Neuroeconomics
  • Behavioural Ethics

You will choose a number of optional modules to complete.