Computer Science | Graduate courses | University of Oxford
Server
A computing cluster at the University
(Image Credit: John Cairns / Oxford University Images)

Computer Science

The Department of Computer Science is at the heart of computing and related interdisciplinary activity at Oxford. Computer science has grown rapidly in recent years and the department is home to a community of world class researchers and is consistently ranked amongst the very best Computer Science departments in the world, for both teaching and research. 

The Department of Computer Science is committed to attracting the world’s most talented students and working with them to continue the success of the department. As a student at the department, you will join a vibrant community working in research areas such as algorithms, artificial intelligence, automated verification, computational biology, foundations, logic and and structures, information systems, machine learning, multi-agent systems, programming languages, security, semantics and software engineering.  

In addition, cross-disciplinary research is carried out in areas such as linguistics, biology, medicine, quantum foundations and quantum computation.

The department’s strength derives from its firm grounding in core computer science disciplines, a high degree of mathematical sophistication among its researchers, and its committed engagement with applications and interdisciplinary work.

You will have the opportunity to meet and interact with other students and staff working across these research areas by attending seminars, workshops and lectures, as well as at social events organised by the Computer Science Graduate Society and the Oxford Women in Computer Science Society.

A wide range of distinguished external speakers and representatives from industry visit the department to give talks and presentations to students and staff and you will have the opportunity to talk with these visitors.

The department is home to undergraduates, full-time and part-time master's students, and has a strong doctoral programme.

Courses