University of Oxford

Overview

The DPhil in Social Data Science at the University of Oxford is designed to foster innovative doctoral research that merges computational methods with the social sciences. This program enables students to formulate original research inquiries while gaining expertise in data-driven methodologies applicable to societal studies.

• Award: DPhil (Doctor of Philosophy)
• Duration: Typically 36 months (full-time)
• Credits: Research-led program; formal ECTS credit totals may vary from taught degrees
• Delivery: Research degree with dedicated supervision and training
• Research focus: Addressing social science questions through computational and data-driven techniques
• Language of instruction: English
• English tests accepted: IELTS or TOEFL iBT (as specified in the entry requirements)
• Entry route: Applicants apply for DPhil study; funding and start dates are contingent on the admissions cycle and funding availability

What you'll study

Research-led training

• Students will develop a research project that utilizes computational and data science methods to tackle social science challenges.
• The program emphasizes not only technical skills but also training in social science theories and methodologies, including a critical examination of the implications and limitations of data-driven approaches.

Academic preparation

• Applicants are typically expected to possess qualifications akin to the MSc in Social Data Science.
• Any identified gaps in knowledge may be addressed through relevant courses within the MSc curriculum or other available University offerings.

Thesis and completion

• Over the course of three to four years, students are expected to contribute original and significant research to the field.
• Progress is monitored through supervision and program training, leading to the submission of a doctoral thesis.

Entry requirements

Career prospects

Graduates of the DPhil in Social Data Science can anticipate a wide range of career opportunities in academia, government, non-profit organizations, and the private sector. Skills developed through this program are highly sought after in roles that require expertise in data analytics, social research, public policy, and technology-driven solutions for societal challenges.