Key Facts · Oxford
Oxford Computer Science (UCAS G400) is a mathematically intensive course leading to a 3-year BA or 4-year MCompSci. For 2027 entry, the typical A-level offer is A*AA including Maths and Further Maths where available, and applicants must sit the TMUA.
Section 01
Oxford ranks #1 for Computer Science in the 2026 Guardian and Complete University Guide subject tables, while the Times/Sunday Times field lists Oxford at #2 and remains partial because the primary Times table is paywalled. The peer table compares Oxford with Cambridge, Imperial College London, St Andrews and Birmingham across Guardian, Complete University Guide and Times/Sunday Times subject-table fields.
The stronger course-specific evidence is the structure: Year 1 is fully core, Year 2 combines core systems and computation with options, Year 3 moves mainly into advanced options, and Year 4 adds MCompSci-level specialisation and a large individual project.
This course suits applicants who want computing as a mathematical discipline: algorithms, logic, proof, systems, programming languages and theoretical models appear repeatedly across the degree. The admissions process is also designed around that profile, because TMUA and interview tasks test mathematical reasoning, computational thinking and problem decomposition.
How It Ranks Against Peers
| University | Guardian UK | CUG UK | Times UK |
|---|---|---|---|
| University of Oxford | #1 | #1 | #2 |
| University of Cambridge | #2 | #2 | #3 |
| Imperial College London | #4 | #3 | #1 |
| University of St Andrews | #3 | #4 | #5 |
| University of Birmingham | #5 | #5 | #4 |
University of Oxford
University of Cambridge
Imperial College London
University of St Andrews
University of Birmingham
Ranks shown are UK subject-table positions from the three major UK guides. World rankings are not included — UK applicants compare using UK-focused sources.
Section 02
International Applicants
Hover to preview · Click to draw route
Select a highlighted country to see the admissions-test, score, and English-language requirements that apply specifically to applicants from that country.
Section 03
| Qualification | Typical Offer | Key Requirements |
|---|---|---|
| A-Level | A*AA, including A*A in Maths and Further Maths if available (in any order). Mathematics is required; Further Mathematics is highly recommended and expected where available. | |
| IB Diploma | 39 points including core points, with 766 at Higher Level. The 7 must be in HL Mathematics. | |
| Advanced Placement (AP) | Either four APs at grade 5, including any subjects required for the course, or three APs at grade 5 plus ACT 32 or above / SAT 1470 or above. | AP Calculus BC if available; AP Calculus AB is accepted if Calculus BC is not available required. SAT/ACT: Required only with the three-AP route: ACT 32 or above, or SAT 1470 or above..AP Pre-Calculus cannot be used to fulfil the Mathematics requirement. Calculus AB and Calculus BC cannot be counted as two separate subjects. |
Section 04
MAY — SEP
Start preparing the UCAS form from May 2026, choose a course and college/open application route, write the personal statement and organise the academic reference. Applications can be submitted from early September.
Tip:Decide early whether you want a college preference or an open application; Computer Science is not offered at every college.
1 JUN
Account creation, access-arrangements requests and bursary requests open at 3pm UK time. For 2027 entry, current official sources list TMUA for Oxford Computer Science rather than the MAT named in the registry.
Tip:Request access arrangements early because UAT-UK warns that reviews can take several working days.
20 JUL — 28 SEP
Book the Oxford-required October UAT-UK sitting by 6pm UK time on 28 September 2026. The access-arrangements deadline is 14 September and the bursary deadline is 21 September.
Tip:Book early to secure a convenient test centre and time.
12 — 16 OCT
Oxford applicants for Computer Science must sit the October TMUA window for 2027 entry. The current course page requires both Paper 1 and Paper 2.
Tip:Treat the test as a major shortlisting input, but not as the only evidence tutors will consider.
15 OCT
Submit the UCAS application by the strict Oxford deadline of 6pm UK time on 15 October 2026.
Tip:Do not leave school-reference approval or payment until the final hours.
LATE NOV — EARLY DEC
Oxford indicates that applicants normally find out whether they have been shortlisted at the end of November or beginning of December.
Tip:Keep interview preparation active before shortlisting arrives; the interview window follows quickly.
EARLY — MID DEC
Shortlisted applicants are invited to online interviews in December. Computer Science interviews are problem-based academic discussions focused on how candidates reason through unfamiliar problems.
Tip:Practise explaining mathematical and computational reasoning aloud, including false starts and changes of approach.
12 JAN
Applicants for 2027 entry receive the outcome of their Oxford application via UCAS on 12 January 2027, with colleges following up later that day.
Tip:If you receive a conditional offer, check the precise academic and administrative conditions set by your college.
AUG
Conditional offer holders have their place confirmed through UCAS if they meet all offer conditions. If results miss the offer, the college reviews the case and communicates the outcome.
Tip:If results are below the conditions because of exceptional circumstances, contact the college promptly and speak to your school or centre about next steps.
MAY — SEP
Start preparing the UCAS form from May 2026, choose a course and college/open application route, write the personal statement and organise the academic reference. Applications can be submitted from early September.
Tip:Decide early whether you want a college preference or an open application; Computer Science is not offered at every college.
1 JUN
Account creation, access-arrangements requests and bursary requests open at 3pm UK time. For 2027 entry, current official sources list TMUA for Oxford Computer Science rather than the MAT named in the registry.
Tip:Request access arrangements early because UAT-UK warns that reviews can take several working days.
20 JUL — 28 SEP
Book the Oxford-required October UAT-UK sitting by 6pm UK time on 28 September 2026. The access-arrangements deadline is 14 September and the bursary deadline is 21 September.
Tip:Book early to secure a convenient test centre and time.
12 — 16 OCT
Oxford applicants for Computer Science must sit the October TMUA window for 2027 entry. The current course page requires both Paper 1 and Paper 2.
Tip:Treat the test as a major shortlisting input, but not as the only evidence tutors will consider.
15 OCT
Submit the UCAS application by the strict Oxford deadline of 6pm UK time on 15 October 2026.
Tip:Do not leave school-reference approval or payment until the final hours.
LATE NOV — EARLY DEC
Oxford indicates that applicants normally find out whether they have been shortlisted at the end of November or beginning of December.
Tip:Keep interview preparation active before shortlisting arrives; the interview window follows quickly.
EARLY — MID DEC
Shortlisted applicants are invited to online interviews in December. Computer Science interviews are problem-based academic discussions focused on how candidates reason through unfamiliar problems.
Tip:Practise explaining mathematical and computational reasoning aloud, including false starts and changes of approach.
12 JAN
Applicants for 2027 entry receive the outcome of their Oxford application via UCAS on 12 January 2027, with colleges following up later that day.
Tip:If you receive a conditional offer, check the precise academic and administrative conditions set by your college.
AUG
Conditional offer holders have their place confirmed through UCAS if they meet all offer conditions. If results miss the offer, the college reviews the case and communicates the outcome.
Tip:If results are below the conditions because of exceptional circumstances, contact the college promptly and speak to your school or centre about next steps.
Section 05
For 2027 entry, Oxford Computer Science uses the Test of Mathematics for University Admission, or TMUA. The test provider is UAT-UK, delivered through Pearson VUE test centres.
Oxford applicants must take both TMUA papers: Paper 1, Applications of Mathematical Knowledge, and Paper 2, Mathematical Reasoning. The Oxford test window for 2027 entry is 12–16 October 2026, with test booking closing at 6pm UK time on 28 September 2026.
The test matters because it gives tutors a common way to compare mathematical and problem-solving potential before interview.
For international applicants, the TMUA is especially important because it sits alongside many different qualification systems.
Full TMUA preparation guide | format, scoring, strategy, and practice resources.
TMUA Guide →Section 06
Interview Invitation
Late Nov
Arrival to Interview
Early Dec
Technical Question
Mid Dec
Decision
Early Jan
Interview Invitation
Late Nov
Arrival to Interview
Early Dec
Technical Question
Mid Dec
Decision
Early Jan
Question Types You’ll See
The interview should feel closer to a problem-solving tutorial than a scripted question-and-answer session. Tutors are looking at mathematical reasoning, proof-style thinking, computational decomposition, response to hints and clarity of explanation.
Typical question types include logic or discrete-mathematics problems, algorithm-design tasks, small pseudocode or program-tracing exercises, proof or pattern questions, and open-ended follow-up prompts. Practising aloud helps: define the problem, state assumptions, test small cases, then explain why your method works or fails.
A good answer does not need to be instant. In our experience, strong candidates show their reasoning clearly enough that tutors can see how they use hints, recover from errors and adapt to new constraints.
Practise with realistic questions from our free Computer Science mock interview bank.
Free Mock Questions →Section 07
Weighting of Admission Factors
100%
Indicative — exact balance varies by college and year.
Oxford Computer Science selection is evidence-led and uses more than one source of information.
For shortlisted applicants, interviews are central because tutors can directly assess how candidates approach unfamiliar problems, absorb hints and explain reasoning. Academic records and predicted grades provide evidence of mathematical preparation and consistency, while the reference and personal statement add context on motivation and independent work.
Read the visual as a practical guide to emphasis, not as a formula.
Section 08
A strong Computer Science personal statement should show how you think. Use one or two problems, projects or readings, then explain the decisions you made and what changed in your understanding.
A list of programming languages is weaker than evidence of reasoning about correctness, edge cases, data structures, complexity, proof or debugging, because those are closer to the way Oxford tests the subject.
It helps to connect every activity to a specific intellectual question. For example: why did one algorithm scale better, why did a representation fail, or why did a proof require a stronger invariant?
See a full annotated example with line-by-line expert commentary.
Computer Science PS Example →Section 09
Projects are useful when they produce evidence of reasoning, not just a finished output. Choose one manageable project and document the mathematical or computational decisions behind it.
How to present a project:
Other supercurriculars should support the same core story: mathematical reasoning, computational thinking and independent follow-through.
These activities are support, not a substitute for strong mathematical preparation.
Competitions are not required, but they can stretch problem-solving under constraint. Use one or two well, then reflect on mistakes and solution quality.
None are required; one or two done well beats five half-attempted.
Section 10
The first year is fully core and builds the mathematical, programming and systems foundations needed for later Computer Science options. Students cover algorithms, proof, discrete and continuous mathematics, linear algebra, probability, programming paradigms and digital systems before sitting first-year university examinations.
A broad mathematical and programming base before options begin.
Second year retains a substantial core while introducing optional Computer Science papers. Students study algorithms and data structures, compilers, concurrent programming and models of computation, while also completing a group design practical and beginning to tailor the course through options.
Group design practical, which Oxford notes may be sponsored by industry.
Third year is mainly option-based and allows students to specialise across advanced theoretical, practical and applied areas of Computer Science. Students may take an optional individual project, or replace the project route with additional examined papers.
Decision point for BA exit or continuation to the fourth-year MCompSci, subject to meeting progression requirements.
The fourth year is for students continuing to the Master of Computer Science. It combines advanced option papers with a large individual project, giving students space to pursue a more specialised research or advanced technical direction.
Large individual project in the integrated master's year.
Section 11
Start with Introduction to Algorithms for rigorous algorithmic analysis, use The Algorithm Design Manual as a practical bridge into algorithm design, and use The Elements of Computing Systems if you want to connect logic gates, architecture and software. Pick one chapter, problem set or implementation idea, then write down what you understood and what remains unclear.
For video, Computerphile is useful for algorithms, security and theory; CS50 builds programming foundations; MIT OpenCourseWare supports algorithmic intuition; 3Blue1Brown is strongest for mathematical visualisation; and freeCodeCamp.org helps with data structures and algorithms. Use these channels to generate questions, not to create a passive watch history.
For listening, Darknet Diaries can prompt systems and security questions, CoRecursive connects software design with long-term learning, The Changelog introduces commercial and research settings, and Software Engineering Daily gives computer-science research context. After an episode, identify one concept worth verifying through reading or code.
For structured study, CS50x: Introduction to Computer Science builds programming confidence, 6.006 Introduction to Algorithms links programming to formal algorithm analysis, Algorithms Specialization gives a structured path through algorithm design and analysis for applicants wanting more depth, and Nand2Tetris supports systems-focused applicants. Structured courses are most useful when you complete exercises and can explain the method afterwards.
Section 12
30 colleges offer this subject. 19.8% of applicants submit an open application. 30.1% of places come through the pool.
Oxford uses reallocation to balance competition across colleges, and applicants may apply to a named college or make an open application. Applicants are not guaranteed to be interviewed or offered by that college.
It also records that 30.1% of 2024-25 Computer Science and joint-course offers were open offers or made by a college other than the first college considering the applicant.
College choice can affect community, accommodation, location and tutor mix, but it should not be treated as a shortcut to an easier offer. Choose a college you would genuinely like, or make an open application if you have no strong preference.
Section 13
Where graduates of this course head after leaving — by sector, as reported in the university’s destinations survey.
Full employer lists, median salary bands, and sector notes live on the careers data page.
Oxford Computer Science graduates enter technical, managerial, academic, financial and commercial roles in the UK and abroad. Department-listed recent employers include technical employers such as IBM, Google, Amazon, Facebook and Cisco, and financial or commercial examples such as Morgan Stanley and Goldman Sachs.
Discover Uni reports that 95% of surveyed students went on to work and/or study 15 months after the course.
Section 14
Oxford considers applications holistically, including school context, educational background and declared extenuating circumstances. For Computer Science, the key subject context is Mathematics, with Further Mathematics highly recommended and expected where available.
Where Further Mathematics is not available at school, applicants should explain that context rather than assume they are automatically disadvantaged. Contextual information can explain opportunity and disruption, but it does not remove the need to show strong mathematical reasoning and readiness for a demanding theoretical course.
Watch & Learn
Student vlogs, mock interviews, lecture tasters, and admissions advice.
MIT 6.006 opening lecture introducing algorithmic thinking through a concrete problem.
Computerphile explanation of recursion, a core idea in mathematical and computational problem-solving.
Introductory CS50 lecture on computational thinking and programming concepts.
Visual introduction to neural networks and the mathematical structure behind them.
Computerphile video showing why recursive thinking is powerful in programming.
All videos are the property of their respective creators.
Further Reading
Super-curricular reading, websites, and tools recommended by our expert tutors.
by University of Oxford
Primary source for course structure, entry requirements, written work, interview guidance and careers.
by UAT-UK
Active official test page for the TMUA required for Oxford Computer Science 2027 entry.
by University of Oxford
Country-by-country qualification equivalence guidance for international applicants.
by Harvard University
A polished, challenging first computer science course for building programming confidence.
by MIT OpenCourseWare
Excellent for applicants ready to connect programming with formal algorithm analysis.
by British Informatics Olympiad
A subject-relevant challenge for algorithmic thinking and programming.
by Computerphile
Useful for exploring computing concepts in a way that can lead to deeper reading and projects.
by Steven S. Skiena
A practical algorithms text for students wanting to move from coding to analytical problem-solving.
Free Resource
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Weekly tips on Computer Science admissions, application deadlines, and interview prep — straight from Oxford graduates.