Social Research Methods and Statistics with Computational Social Science

Entry requirements

We require a UK bachelor's degree with a First or Upper Second classification or the overseas equivalent, in any 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.

Months of entry

September

Course content

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.