DPhil in Social Data Science
The DPhil in Social Data Science is a research-based course exploring the intersection of computational and social sciences, covering AI, machine learning, ethics, network science, and digital governance through interdisciplinary methods.
Closed to applications for entry in 2026-27. Register to receive an email when applications open (for entry in 2027-28).
Closed to applications for entry in 2026-27. Register to receive an email when applications open (for entry in 2027-28).
- Expected length:
-
- Full time: 3-4 years
- Part time: 6-8 years
- Expected start date:
-
- Full time:
- Part time:
- English language level:
-
- Higher level required
About the course
The DPhil (known as a PhD at other universities) provides the opportunity to investigate and address novel research questions at the intersection of the computational and social sciences, supported by the multidisciplinary faculty at the Oxford Internet Institute (OII) and Oxford faculty within Mathematics, Computer Science, and Engineering Science.
As a DPhil in Social Data Science student, you will pioneer new approaches to contemporary social and policy issues online, developing new computational and data-driven methodology to inform the development and governance of digital technologies. The programme provides a rare grounding in both technical skills and social science research, training you to develop new research skills in areas such as machine learning, statistical modelling, large-scale data collection, algorithm auditing, or network science.
Research students in Social Data Science are graduates in subjects from computer science and mathematics to physics, as well as transdisciplinary subjects such as human-centred data science and complex systems.
In addition to the formal requirements of the DPhil thesis, all OII doctoral students have access to regular training in the key professional skills necessary to support their research and future employment. These range from classes on advanced research methods as part of the OII’s option course offerings, to professional development training (provided both by the department and the University) such as presentation skills, academic writing and navigating the process of peer review.
You will attend a weekly doctoral seminar in which you will present your own work for critique, and critique the work of your peers. In addition, the department's busy calendar of events brings many of the most important people in internet research, innovation and policy to the OII, allowing students to engage with cutting-edge scholarship and debates around digital technologies and social data science.
Research areas
You will have the opportunity to undertake research within the specialised themes of this course.
Course details
Entry requirements
For entry in 2026-27