- 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 highly successful Q-Step Centre for Applied Data Analysis providing you with the essential mathematical and programming skills to acquire and analyse data
- Put your market-leading social data science skills into practice with optional work placements or industry-based research consultancy projects
- You’ll gain an understanding of complex political and cultural issues, often in continually changing environments which will be relevant to both business and public sector careers or PhD study

Social Data Science
About
Disciplines
Requirements
Entry Requirements
Entry requirements
We will consider applicants with a 2:2 Honours degree with 53% or above in a related subject, eg. social sciences, psychology and economics, with demonstrable evidence of data analysis training/content.
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.
Entry requirements for international students
English language requirements
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B2. Please visit our English language requirements page to view the required test scores and equivalencies from your country.
English Requirements
- PTEMin 67
- IELTSMin 6.5
- TOEFLMin 90
English Program Requirements
Test Name: IELTS Academic, IELTS Online, IELTS One Skill Retake and IELTS Indicator (IELTS – Academic version)
Required Score: 6.0 overall and no less than 6.0 in any section
Test Name: TOEFL iBT, TOEFL iBT Home Edition, TOEFL iBT Paper Edition and TOEFL MyBest scores
Required Score: Overall score 87 with minimum scores of 21 for writing, listening, reading and speaking.
Test Name: Pearson Test of English (Academic) PTE
Required Score: 64 overall with no less than 64 in all communicative skills
Test Name: LanguageCert International ESOL SELT
Required Score: B2 Communicator with minimum 33 in writing, speaking, listening & reading
Test Name: LanguageCert Academic
Required Score: 65 overall and no less than 65 in any skills score
Test Name: INTO Pre-sessional English
Required Score: 60 and no less than 60 in any sub-section
Test Name: Study Group Academic English
Required Score: Minimum of 60% overall, no less than 60% in any section
Test Name: Skills for English: SELT
Required Score: B2 Pass
Test Name: Duolingo English Test - test taken up to 30th June 2024
Required Score: 110 overall and no less than 110 in Literacy, 95 in Conversation, 110 in Comprehension and 90 in Production
Test Name: Duolingo English Test - test taken from 1st July 2024
Required Score: 110 overall and no less than 110 in any Integrated Subscore
Career
Careers
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.
Employer valued skills
You will develop a variety of skills that are valued in professional and managerial careers: the ability to research and analyse information from a variety of sources along with written and verbal skills needed to present and discuss your opinions. The understanding you will gain of complex political and cultural issues, often in continually changing environments, can also be relevant to both business and public sector appointments.
Graduate careers
University of Exeter Politics postgraduates have been highly successful in securing interesting career opportunities and progressing to PhD level study. Previous students are now working for organisations such as The World Bank, The Bank of England, Department of Health and Social Care, Department of Work and Pensions, HMRC, Office for National Statistics, Youth Endowment Fund, Accenture, PWC, and a range of data science companies in the private sector. The course is also ideal if you are thinking of doing a PhD.
Employment and professional development
Our excellent Career Zone service provides invaluable support, advice and access to graduate employers. Visit the website for more information, including podcasts and profiles, about the range of support available.
Work placement
A work placement enables you to get hands-on analysis experience for a period of typically three to six weeks. There are a wide variety of placements to choose from locally, nationally and in Europe working in public sector organisations, non-governmental organisations (NGOs) and industry.
Industry-based research consultancy project
Industry-based research consultancy projects are a variant to a more traditional style dissertation. These provide you with the opportunity to partner with an external organisation to examine a research question of mutual interest. This option is designed to integrate the applied nature of the course with direct workplace experience as you work on your project.
Fee Information
Social Data Science
The University of Exeter
United Kingdom, Exeter