Computer Science
About this course
BA or MCompSci in Computer Science, a mathematics and computer science degree focusing on the theoretical foundations and practical applications of computer systems and software. Core topics include Programming, Computer Architecture, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The initial study phase builds foundational knowledge through the first year and part of the second year, followed by options and a group design practical in the second year. The first year covers foundational subjects including Continuous mathematics, Design and analysis of algorithms, Digital systems, Discrete mathematics, Functional programming, Imperative programming, Introduction to proof systems, Linear algebra, and Probability. The second year introduces algorithms and data structures, compilers, concurrent programming, models of computation, group design practical, artificial intelligence, computer architecture, computer graphics, databases, logic and proof, and quantum information. The third year offers advanced study in areas such as computer-aided formal verification, geometric modelling, lambda calculus and types, machine learning, principals of programming languages, and scientific computing. The fourth year concludes with specialised topics including automata, logic and games, categories, proofs and processes, computational biology, computational medicine, database systems implementation, distributed processes, types and programming, foundation of self-programming agents, geometric deep learning, probabilistic model checking, quantum processes and computation, and uncertainty in deep learning.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: A*AA, including A*A in Maths and Further Maths if available (in any order) IB: 39 (including core points) with 766 at HL (the 7 must be in HL Mathematics)
What students say
Based on about 14 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 89%
- Learning opportunities: 85%
- Assessment and feedback: 82%
- Academic support: 92%
- Organisation and management: 83%
- Learning resources: 96%
- Student voice: 65%
Do students stay on the course?
Based on about 50 students who started
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 10 graduates who answered (a small group: a rough guide only)
- Working: 95%
- Unemployed: 5%
Most common jobs
- Information Technology Professionals: 75%
- Managers, directors and senior officials: 10%
- Business, Research and Administrative Professionals: 10%
- Find their work meaningful: 90%
- Feel on track for their future plans: 100%
- Use what they learnt on the course: 80%
Where graduates work (5 years on)
Based on about 35 graduates, across similar courses at this university
- North West: 5%
- West Midlands: 5%
- East of England: 10%
- London: 40%
- South East: 30%
- South West: 5%
Who gets in
Based on about 55 students who started
- A levels: 100%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Gold for student experience, Gold for student outcomes.
Modules
- Continuous mathematics
- Design and analysis of algorithms
- Digital systems
- Discrete mathematics
- Functional programming
- Imperative programming
- Introduction to proof systems
- Linear algebra
- Probability
- Algorithms and data structures
- Compilers
- Concurrent programming
- Models of computation
- Group design practical
- Artificial intelligence
- Computer architecture
- Computer graphics
- Databases
- Logic and proof
- Quantum information
- Computer-aided formal verification
- Geometric modelling
- Lambda calculus and types
- Machine learning
- Principals of programming languages
- Scientific computing
- Automata, logic and games
- Categories, proofs and processes
- Computational biology
- Computational medicine
- Database systems implementation
- Distributed processes, types and programming
- Foundation of self-programming agents
- Geometric deep learning
- Probabilistic model checking
- Quantum processes and computation
- Uncertainty in deep learning
Questions about this course
How much do graduates of Computer Science at University of Oxford earn?
The median salary is £55,000 after 15 months, £51,500 after 3 years, £68,500 after 5 years. After five years the middle half of graduates earn between £43,000 and £151,500. The £68,500 median after five years is £29,000 more than the UK median for Mathematics.
What do graduates of Computer Science at University of Oxford do next?
95% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on Computer Science at University of Oxford?
89% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for Computer Science at University of Oxford?
The typical offer is A*AA at A level. The average entrant had 217 UCAS points.
How many students continue on Computer Science at University of Oxford?
95% of students continued into their second year, and 5% left higher education.