MSc in Law, Governance and Artificial Intelligence
A unique, ground-breaking course combining practical skills in computational methods with a theoretical understanding of the law and governance of Artificial Intelligence for students from a wide range of disciplinary backgrounds.
Full time
- Upcoming application deadline for 2027-28 entry:
- 12:00 midday UK time on Wednesday 27 January 2027
- Expected length
- 12 months
- Expected start date
- October 2027
- English language level
- Higher level required
Application deadlines
Final application deadline for entry in 2027-28
About the course
The MSc in Law, Governance and Artificial Intelligence is a new interdisciplinary master's course jointly developed by Oxford’s Faculty of Law and Department of Politics and International Relations. The course responds to growing demand for professionals who can work at the intersection of Artificial Intelligence (AI), law, and public governance, combining technical understanding of AI systems with knowledge of legal regulation, political decision-making, and ethical governance. Designed for students from a wide range of academic backgrounds, the course aims to develop graduates who can lead innovation responsibly, understand the societal impacts of AI, and help shape the laws, policies, and institutions that govern emerging technologies.
The curriculum is built around three integrated streams:
- Approaches to Law, Governance and AI, which explores legal, political, ethical, and regulatory frameworks;
- Computational Social Science in Law and Governance, which provides practical training in machine learning, AI tools, and data-driven problem solving; and
- a Capstone Practical Group Project, where students work in multidisciplinary teams to design and develop real-world AI applications addressing legal or governance challenges.
You will also choose electives from law or politics to deepen your specialist knowledge. A distinctive feature of the course is its emphasis on hands-on learning, collaboration with industry mentors, and the development of both technical and professional skills, including project management, communication, entrepreneurship, and interdisciplinary teamwork. Graduates will be equipped for careers in technology governance, public policy, law, regulation, consulting, research, and AI-driven innovation.
Course structure
You will follow two compulsory modules. The first, Computational Social Science in Law and Governance, will teach practical computational skills, following which students will formulate a group project (the Capstone Project) which they will undertake through third term and the summer vacation. The second core module, Approaches to Law, Governance and AI, will examine normative theoretical and empirical questions about how AI algorithms affect our legal, social and political worlds. Alongside these two core modules you will be able to take two terms’ worth of elective courses across the first two terms of the academic year, choosing from a list of courses in both the Department of Politics and International Relations and Faculty of Law, though some electives will have prior knowledge requirements.
Teaching for the Approaches to Law, Governance and AI course will be in weekly lectures but you will also receive one tutorial in each of the first and second terms in a group of 3-4 to give you the chance to practice writing for the course and to discuss your ideas in a smaller group.
Computational Social Science Law and Governance will be taught through weekly lectures and accompanying lab sessions. In the second term this course moves to more applied work, beginning with five guided classes on applying AI and LLMs to different real world tasks before shifting to the Capstone Project stream of the course in which you will develop, refine and execute a specific interdisciplinary practical project with real-world application.
You will also take part in the group Capstone Projects which will involve working as an interdisciplinary team of students and liaising with industry mentors and potentially project clients.
Core components
You will take two core modules and undertake a group project.
Option modules
You will take either one two-term course in the Faculty of Law or two one-term courses in the Department of Politics and International Relations or Law.
Course details
Entry requirements
For entry in 2027-28