University course Β· real outcomes from HESA / Discover Uni Β· part of Careermash
University degree

Social Sciences with Data Science

University College London Β· London
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

The social sciences study human society in all its complexity, examining how people behave collectively, how institutions function, how inequality is structured and reproduced, and how social change happens. Data science provides the computational and statistical tools to analyse the large and complex datasets that increasingly make the social world visible, from administrative records and social media to surveys and sensor data. Combining the two equips you to ask genuinely social scientific questions and to bring rigorous quantitative methods to bear in answering them, a combination that is increasingly powerful and in demand.

At University College London this three-year full-time programme sits at the intersection of these two domains. You will study the core disciplines of the social sciences, engaging with sociology, economics, political science and related fields and developing the theoretical frameworks for understanding social phenomena. Alongside this you will develop substantial data science skills, including programming, statistical modelling, machine learning and data visualisation, applied to social data.

UCL's exceptional research environment and its location in London, with its extraordinary concentration of policy, research and technology organisations, provide a stimulating context for a degree that is explicitly designed to produce graduates who can work rigorously across disciplinary boundaries.

Graduates from social sciences with data science programmes are sought after across a wide range of sectors. Social research, government analytics, policy evaluation, behavioural science, academic research, journalism, technology companies and international organisations all value people who can combine social scientific understanding with quantitative analytical capability. The ability to work with large datasets while maintaining the critical perspective that social science training develops is a genuinely distinctive skill set.

Many graduates continue to postgraduate study in social data science, computational social science, public policy or related fields. This degree is designed for people who want to understand society through data without losing the social scientific perspective that gives that data meaning.

Could you get in?
The grades students arrived with
<48 pts4%
48-63 pts5%
80-95 pts1%
96-111 pts7%
112-127 pts8%
128-143 pts14%
144-159 pts18%
160-175 pts8%
176-191 pts8%
192-207 pts7%
208-223 pts8%
224-239 pts3%
240+ pts5%
How they qualified
78% got in with A-levels. The rest came in a mix of ways:
A-levels78%
the IB11%
another degree4%
Other4%
other higher education3%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
100%
In work or further study after
92%
Continue past first year
86%
Student satisfaction
What graduates earn over time
Β£30,500
After 15 months
Β£28,000
3 years on
Β£37,500
5 years on
What graduates actually go on to do % of leavers
Business and public service associate professionalsHighly skilled25%
Business, Research and Administrative ProfessionalsHighly skilled25%
Administrative occupations15%
Information Technology ProfessionalsHighly skilled20%
Natural and social science professionalsHighly skilled10%
Finance ProfessionalsHighly skilled20%
Welfare and housing associate professionalsHighly skilled5%
Managers, directors and senior officialsHighly skilled10%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching86%
Assessment & feedback80%
Academic support73%
Well organised84%
Learning resources91%
Student community91%
In students' own words
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Highly recommend
I've grown so much academically and personally here. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” good t…
Postgraduate Β· Part-time
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Would do it again
The course has exceeded my expectations. The best part: the lecturers include people actively shipping research to industry. If I'm honest, a few modules feel under-resourced compared to the flagship ones. On the city β€” good transport links…
Class of 2022 Β· Part-time
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University College London's own site.
Apply on uni site
Careermash Β· real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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