Overview
Features
- The DPhil in Social Data Science at the University of Oxford provides an opportunity for students to formulate and address novel research questions at the intersection of the computational and social sciences, supported by the multidisciplinary faculty at the OII, Engineering Science, Statistics, Sociology, Computer Science and other departments across the University of Oxford, as well as by the complementary strengths of the student cohort, who draw upon expertise and experience from across the disciplinary spectrum.
Programme Structure
Research
- Beyond the technical skills, the programme will also provide students with a solid grounding in social science theory and methodology, and reflection on the consequences of the techniques applied.
- Ordinarily, students will be expected to have training similar to that offered within the MSc in Social Data Science, but gaps may be filled with courses from the MSc curriculum as well as other existing courses at the University.
- Over the course of the three to four years, you are expected to produce an important and original piece of scholarship that will make a significant contribution to the dynamic area of Social Data Science. On completion, you will have the qualities and transferable skills necessary to excel in teaching, research, policymaking or business.
Key information
Duration
- Full-time
- 36 months
- Part-time
- 72 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Sociology Data Science & Big Data View 117 other PhDs in Sociology in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:
- a master's degree with a mark of at least 65%; and
- a first-class or strong upper second-class undergraduate degree with honours in any subject.
Tuition Fees
-
International Applies to you
Applies to youNon-residents32960 GBP / year≈ 32960 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents15350 GBP / year≈ 15350 GBP / year
Living costs
Oxford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Social Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility