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 (2.1 in quantitative field with demonstrated experience in maths or programming), students with an extremely strong social science background (1st or equivalent), or students who have solid evidence of programming experience and a solid generalist background (2.1 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.

On the MSc, we cover the use of statistics to make sense of behavioural data (e.g., regression and t-tests). 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 psychological and computer science models.

Prior experience with Python, R, or Matlab is extremely valuable. Though students do not need to show evidence of this training in their application, but prior experience and/or self training in one of these programming languages is valuable.

English language requirements

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.

International qualifications

We welcome applications from students with other internationally recognised qualifications.

For more information, please visit the international entry requirements page.

Additional requirements

There are no additional entry requirements for this course.

Core modules

Students will study six core modules across Psychology and Computer Science as well as 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, including memory, attention, perception, personality and individual differences, choice, and subjective well-being.

Methods and Analysis in Behavioural Science

The purpose of the module is to introduce experimental design and statistical programming. Behavioural scientists need statistical analysis of experimental data to identify whether the results are consistent enough to be confident that the effects are significant.

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 masters 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.

Optional modules

Students will be able to choose further optional modules from Psychology and Computer Science lists.

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.

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