Course summary
The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:
- business and management;
- health science;
- social sciences;
- geography;
- planning;
- computer science;
- mathematics.
- computational skills;
- data analytical skills;
- data stewardship skills and knowledge;
- project design skills.
Entry requirements
You are expected to have an undergraduate degree with a substantial amount of mathematics including Probability and Statistics, Calculus or Mathematical Analysis, and Linear Algebra. In your application, you should demonstrate aptitude, knowledge and/or interest in three areas: - data analytics and/or statistics; - computational subjects; and - pathway specific requirements. These can be demonstrated by course units taken at undergraduate level and high school level, or professional experience. Please see our application and selection page for more detailed information.
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
For fees for entry in 2025, please view the course listing on our website.
Sponsorship information
We offer a number of postgraduate taught scholarships and awards to outstanding applicants, such as the Manchester Humanities International Excellence Scholarship. The Manchester Alumni Scholarship Scheme offers a £3,000 fee reduction to Manchester alumni who achieved a first-class bachelor's degree within the last three years and are progressing to postgraduate study. For more information, see our Fees and funding page.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL