2:i undergraduate degree (or equivalent) in a relevant subject.
Months of entry
Increasingly, big data is used to track and trace social trends and behaviours. In turn, governments, business and industries worldwide are rapidly recruiting graduates who can understand and analyse big data. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy. You'll learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries.
You'll take three core modules. Lab work, report writing and data skills training will form an integral part of your learning experience. You'll be invited to attend optional short certified ‘Masterclasses’ to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. forecasting; visualisation) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods.
You don’t need a computer science, mathematics or statistics background to apply. The focus is on skilling-up on key techniques intrinsic to applied quantitative social science. A willingness to engage with world social science issues is essential.
Information for international students
English Language requirement: Band B. For more guidance on English language requirements please visit this page.
Fees and funding
For more information on funding please visit our Postgraduate fees and funding page.
Qualification and course duration
Course contact details
- Postgraduate Admissions