Course summary
Explore the intersection between psychology and economics. You’ll gain a well-rounded understanding of human decision-making and learn how to predict it. This master’s course enables you to delve into the intersection between the disciplines of psychology and economics, providing you with the opportunity to develop a cross-disciplinary perspective of human decision-making. By combining economic modelling with what psychology can tell us about individuals’ behaviour and emotions, you’ll learn how to create highly accurate tools or models for predicting human behaviour. These models can be used in a range of contexts to empower behaviour change at both a micro and macro level. Upon completion of the course, you’ll be better prepared to work in any area where understanding human decision-making is important. This course is highly relevant if you have a background in economics or psychology; or come from a background where modelling or understanding human behaviour is a key component, such as engineering or sociology. An interdisciplinary learning environment You’ll be immersed in an academic setting that brings together specialist teaching and expertise from both our Department of Psychology and Department of Economics. Our research-active staff work to:
- deliver contemporary, industry-relevant course content
- give you exposure to the latest issues and trends
- provide links with employers
- ensure you gain interdisciplinary insights to help you stand out for future jobs
- social and developmental observation labs
- a virtual reality lab with motion sensor cameras
- a hyper-EEG lab
- eye-tracking technology
- psychophysiological measurement equipment (including skin conductance and heart rate)
- individual and group behavioural testing labs
- an interdisciplinary understanding of the psychological and economic science that impacts human factors in decision-making
- the skills to independently run, and appropriately analyse, data from studies into human decision-making
- the ability to develop powerfully predictive behavioural models based on a strong foundation of theory from both psychology and economics
- a deep understanding of the breadth of impact that behavioural economics can have on business, academic and societal factors
- Research Advisor at The Behavioural Insights Team (UK)
- Senior Research Executive at Kantar Public (UK)
- Marketing Specialist at Supreva (UK)
- Head of Behavioural Innovation at Cowry Consulting (UK)
- Data Engineer at Kubrick Group (UK)
- Strategy Manager at UK Markets and Regulation (UK)
- Senior Consultant bei Allianz Consulting (Germany)
- Market Intelligence Analyst (US)
Assessment method
- Coursework
- Dissertation
- Essay
- Examinations
- Oral presentation
Entry requirements
You should have a bachelor’s honours degree or international equivalent, typically a 2:1 or above. To apply for this course you should have an undergraduate degree in an appropriate subject such as psychology or economics, another social science or business-related discipline (business administration, finance, accounting, international trade, banking, financial management, public finance, politics) or another subject which included a significant economics or modelling component (physics or engineering). You must demonstrate basic quantitative skills, acquired through modules such as microeconomics, mathematics or statistics. We may make an offer based on a lower grade if you can provide evidence of your suitability for the degree. If you first language is not English but within the last 2 years you completed your degree in the UK you may be exempt from our English Language requirements.
English language requirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Bath
Claverton Down
Bath
BA2 7AY