2:1 undergraduate degree (or equivalent) in a relevant subject.
Months of entry
Increasingly, big data are 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 will learn practical and theoretical data skills, both in quantitative methods and the wider theoretical implications about how big data are transforming disciplinary boundaries.
You will take three core modules and a dissertation. Three option modules allow further specialisation. Lab work, report writing, data skills training and guest lectures by industry experts will form an integral part of your learning experience. You will be invited to attend short certified ‘Masterclasses’ to further extend your methodological repertoire. An annual Spring Camp on a key theme (e.g. health; networks; food) is also provided, allowing you to gain expertise in a wide range of cutting-edge quantitative methods.
Information for international students
For guidance on English language requirements, please visit our website.
Fees and funding
There are several funding opportunities available for students applying for this course. These include external awards, wider University awards and departmental scholarships. Details can be found here:
Qualification and course duration
Course contact details
- Postgraduate Admissions
- +44 (0)24 7652 4585