Course summary
Data skills are invaluable across the social sciences. Used responsibly, big data can help you to interpret the myriad factors at play in the study of social phenomena. Mastering computational methods will greatly expand your ability to process, analyse and draw conclusions from data. Each core module on this programme has been designed to equip you with a strong foundation in both statistical theory and advanced computational techniques, ensuring you graduate with a versatile toolkit for analysing complex social phenomena. Some of the key skills you’ll learn are:
- Advanced data analysis
- Survey design
- Statistical modelling
- Agent-based modelling for understanding complex systems.
Entry requirements
We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, inany discipline. When assessing your academic record we consider your degree subject, grades you have achieved and the standing of the institution where you studied your qualification.
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 merit awards to outstanding applicants and international students. In addition, the Manchester Alumni Scholarship Scheme offers a £3,000 reduction in tuition fees to University of Manchester alumni who achieved a First class Bachelor's degree and are progressing to a postgraduate taught master's course. For more information, see fees and funding or search the University's postgraduate funding database.
Provider information
University of Manchester
Oxford Road
Manchester
M13 9PL