MSc Social Data Science at University of Exeter

Programme overview

Explore ways to apply data analysis techniques to a range of substantive policy related questions and develop skills in evidence-based decision making Choose to specialise within a policy subfield such as social and family policy, economic and public policy, environment, criminal justice and security Delivered by the University's Centre for Computational Social Science (C2S2)

Duration: 1 year full time; 2 years part time | Study mode: full-time / part-time | Intake: September 2027 | Location: Exeter, England, United Kingdom

Career pathways

Policy making in all sectors has become more data driven. Advanced training in issues of data use, data sharing, transparency, and accountability are important for both the public and private sectors. Unlocking the potential of collecting, sharing and analysing massive amounts of administrative and economic, social and political information to bring economic and social benefits requires individuals trained in both evidence-based decision-making and social data science.

Official programme page

Application information

Entry requirements

We will consider applicants with a 2:2 Honours degree or above (or equivalent). We welcome students from any academic background. Please note, if we receive an application which we deem more suitable for one of our other data science programmes we may make an offer for that alternative programme. English language: Profile B1 (international applicants).

Domestic applicants: GBP 13,050 a year (2027/28). UK fees per year: £13,050 full-time; £6,525 part-time International fees per year: £26,300 full-time; £13,150 part-time Source

International applicants: GBP 26,300 a year (2027/28) Source

Intake: September 2027

Duration: 1 year full time; 2 years part time

Apply through the official page: https://www.exeter.ac.uk/masters-degrees/apply/

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