Social Research Methods and Statistics with Computational Social Science | University of Manchester

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.

Upon course completion, you’ll have developed a highly valued skillset, preparing you for doctoral research and enhancing your employability across countless sectors.

Entry requirements

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Fees and funding

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Course options

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.