Behavioural and Data Science (MSc) (2023 Entry)
Explore our Behavioural and Data Science taught Master's degree.
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.
Course overview
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).
Skills from this degree
Graduates will be able to:
- Use data to understand how and why people make the choices they do, and understanding the consequences of their choices in relation to public policy (e.g. encouraging people to save for pensions or change to low-carbon behaviours), industry (e.g. understanding how to place a new product in the market), and individual behaviour (e.g. understanding why people drink and eat too much)
- Access and analyse large-scale datasets
- Utilise state-of-the-art techniques in data analysis and visualisation
- Design and conduct studies using data analysis to understand behaviour
General entry requirements
Minimum requirements
This year we anticipate many applications.
As such, 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.
On the MSc, we cover the use of statistics and computational approaches to make sense of behavioural data (e.g., regression, t-tests, machine learning). We introduce the R, Python, and Matlab programming languages for statistics and mathematical modelling. We also use maths in psychological and computer science models.
English language requirements
You can find out more about our English language requirementsLink opens in a new window. 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.
International qualifications
We welcome applications from students with other internationally recognised qualifications.
For more information, please visit the international entry requirements pageLink opens in a new window.
Additional requirements
There are no additional entry requirements for this course.
Core modules
Students will study seven core modules across Psychology and Computer Science, including a Behavioural and Data Science project. These modules include:
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.
Foundations of Data Analytics
You will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decision making.
Foundations of Computing
The aim of the module is to equip you with a grounding in foundations of computing, to enable students from a wider background to confidently undertake a taught Master's programme in advanced computing topics.
Psychological Models of Choice
The main aim of this module Psychological Models of Choice is to review theories of individual choice. Core empirical results in the decision-making literature will be reviewed and their theoretical implications explored.
Data Mining
This module will help you understand the value of data mining in solving real-world problems, as well as the foundational concepts underlying data mining. You will also understand the algorithms commonly used in data mining tools to gain the ability to apply data mining tools to real-world problems.
Integrated Behavioural and Data Science
The module will bridge the gap between data science and behavioural science, giving students examples of what researchers do in the combined area of behavioural and data science. Students will learn the various methods and approaches and how these are applied to behavioural and data science. Students will also learn how to frame research questions and apply data science methodologies to address these questions.
Teaching
You will have a combination of lectures, seminars and practical classes or workshops. Lectures introduce you to a particular topic, seminars build on that knowledge and workshops and practical classes allow you to put what you are learning into practice. Seminars, practical classes and workshops are smaller groups than lectures giving access to tutors to help you put into practice what you are learning.
Class sizes
Class sizes will naturally vary, however our Psychology courses comprise of around 25-30 students.
Typical contact hours
Teaching occurs throughout the week, with an average of 8-12 hours of lectures and 5-7 hours of practical classes or seminars per week. You will also have meeting with your personal tutor at intervals throughout your course.
Assessment
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.
Reading lists
Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.
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.
Your career
Graduates from our MSc have followed career paths in postgraduate research and industry. Some have gone on to work on PhDs at the Alan Turing Institute and various Universities both in and outside the UK. Others have taken up positions as data scientists in industry, government, and NGOs.
Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year.
Psychology at Warwick
A playground for the mind
Our research-driven department can offer you the kind of physical and intellectual environment that’ll inspire you to succeed. We pride ourselves on being a friendly, inclusive academic community offering a stimulating, intellectual environment to students and staff. We’re large enough to provide excellent resources and education, but also small enough to know who you are and provide one-to-one support.
Find out more about us on our website.
Our Postgraduate courses
Tuition fees
Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities.
Taught course fees Research course fees
Fee Status Guidance
We carry out an initial fee status assessment based on the information you provide in your application. Students will be classified as Home or Overseas fee status. Your fee status determines tuition fees, and what financial support and scholarships may be available. If you receive an offer, your fee status will be clearly stated alongside the tuition fee information.
Do you need your fee classification to be reviewed?
If you believe that your fee status has been classified incorrectly, you can complete a fee status assessment questionnaire. Please follow the instructions in your offer information and provide the documents needed to reassess your status.
Find out more about how universities assess fee status
Additional course costs
As well as tuition fees and living expenses, some courses may require you to cover the cost of field trips or costs associated with travel abroad.
For departmental specific costs, please see the Modules tab on the course web page for the list of core and optional core modules with hyperlinks to our Module Catalogue (please visit the Department’s website if the Module Catalogue hyperlinks are not provided).
Associated costs can be found on the Study tab for each module listed in the Module Catalogue (please note most of the module content applies to 2022/23 year of study). Information about module department specific costs should be considered in conjunction with the more general costs below:
- Core text books
- Printer credits
- Dissertation binding
- Robe hire for your degree ceremony
Scholarships and bursaries
Scholarships and financial support
Find out about the different funding routes available, including; postgraduate loans, scholarships, fee awards and academic department bursaries.
Living costs
Find out more about the cost of living as a postgraduate student at the University of Warwick.
Find out how to apply to us, ask your questions, and find out more.
Taught course applications
Here is our checklist on how to apply for taught postgraduate courses at Warwick.
Research course applications
Here is our checklist on how to apply for research postgraduate degrees at the University of Warwick.
After you’ve applied
Find out how we process your application.
Applicant Portal
Track your application and update your details.
Admissions statement
See Warwick’s postgraduate admissions policy.
Join a live chat
Ask questions and engage with Warwick.
Postgraduate Open Day
Our Postgraduate Virtual Open Day will help you find out more about your course of interest, as well as general topics like applying to Warwick, accommodation, careers and funding.Postgraduate fairs
Throughout the year we attend exhibitions and fairs online and in the UK. These events give you the chance to learn about our Master's and PhD study routes, and the wider context of postgraduate study.
Live chats
Every week, you can connect directly with representatives from Warwick, who will be answering your questions on applying to and studying postgraduate studies at Warwick.
Departmental events
Some academic departments hold events for specific postgraduate programmes, these are fantastic opportunities to learn more about Warwick and your chosen department and course.
Connect with us
Want to hear more about postgraduate study at Warwick? Register your interest and find out more.