Programme description
What you can expect to study
- Prepare, analyse and communicate insights from data.
- Apply statistical and machine-learning techniques.
- Use programming and data tools to solve practical problems.
University of Oxford · Oxford
MSc Social Data Science
A multidisciplinary course applying quantitative and computational methods to social questions, combining data science with social science. Open to graduates of any subject with strong grades.
Career direction
Where it may lead
Possible career directions include:
- Data scientist
- Data analyst
- Machine-learning specialist
- Business intelligence analyst
Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.
Entry requirements
Can I apply?
- Academic
- First-class honours degree (or international equivalent) in any subject
- Sri Lankan qualifications
- No Sri Lanka-specific grade table found; course pages require the equivalent of a UK first-class or strong upper second-class honours degree
- English (IELTS)
- Higher level: IELTS 7.5 overall, at least 7.0 in each component
Not sure you qualify? Send us your results — we’ll tell you honestly, free.
How we help
Your application, handled.
- We check your eligibility and documents.
- We prepare and submit your application to University of Oxford.
- We help you meet any offer conditions and get your CAS.
- We guide your Student visa application.
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Course information checked October 2026 from the official course page on ox.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Oxford before you apply. Global Educational Consultants is an independent consultancy.