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Complete Admissions Guide

Mathematics and Statistics at University of Oxford

Our students' Oxford acceptance rate

65%

Overall Oxford offer rate (latest published cycle)

17%

Mathematics and Statistics at Oxford is among the most selective courses in the UK. Get 1-to-1 admissions coaching from Oxford graduates who have been through the process themselves.

Last updated: June 2026

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Key Facts

  • A*A*ATypical Offer
  • 11:1Applicants / Place
  • #2UK Ranking
  • TMUAAdmissions Test
  • 183Places / Year
  • GG13UCAS Code

Overview

Mathematics and Statistics at Oxford

Oxford Mathematics and Statistics sits inside Oxford's combined Mathematics / Mathematics and Statistics admissions route for 2027 entry: UCAS code G100, typical A-level offer **A*A*A, and TMUA** required. Students choose between Mathematics and Mathematics and Statistics after the fourth term; either route can lead to the 3-year BA or 4-year MMath.

Why study Mathematics and Statistics at Oxford?

Oxford combines Mathematics and Mathematics and Statistics at admissions stage, so the first part of the degree is deliberately broad. The first year covers pure mathematics, applied mathematics, probability, statistics and computation before later route choice.

A university lecture hall from the back, students taking notes

Section 01

International Applicants

Click your country on the map below for country-specific entry guidance — accepted qualifications, expected scores, English-language requirements, and any local context worth knowing before you apply.

International Applicants

Country-specific admissions requirements

CanadaUnited States of AmericaSouth KoreaIndiaChinaUnited KingdomMalaysiaJapan

Pick a highlighted country to see the admissions-test, score, and English-language requirements that apply for applicants from that country.

Section 02

Entry Requirements

  • A-LevelA*A*A with the A*s in Mathematics and Further Mathematics (if available). For those for whom Further Mathematics is not available: either A*AAa with A* in Mathematics and a in AS-level Further Mathematics, or A*AA with A* in Mathematics.
    Mathematics required. Further Mathematics recommended.
  • IB Diploma39 (including core points) with 766 at HL (the 7 must be in Higher Level Mathematics)
  • Advanced Placement (AP)Either four APs at grade 5 (including any subjects required for the course) or three APs at grade 5 (including any subjects required for the course) plus ACT 33+ or SAT 1480+.
Admissions test
Pre-registered TMUA (Test of Mathematics for University Admission). Registration closes 28 September 2026; the test sits 12–16 October 2026 at Pearson VUE centres. TMUA replaced the MAT for Oxford Maths and Computer Science course families from 2027 entry.
Interview
Two college interviews of around 25 minutes each. Subject-specific discussion or problem-solving interviews typical of Oxford tutorial teaching. Most interviews are in person at the college; many colleges still offer online interviews for international applicants.
Required Tests:TMUA

Section 03

Application Process & Key Deadlines

  1. MAY to JUL

    Plan the Oxford application

    UCAS search for 2027 entry opens on 28 April 2026 and applications can be started from 12 May 2026. Applicants should choose the course and college/open-application route, draft UCAS and plan TMUA preparation.

  2. 1 JUN to 28 SEP

    Register and book TMUA

    UAT-UK registration opens on 1 June 2026 at 3pm UK time. TMUA booking runs from 20 July to 28 September 2026 at 6pm UK time.

  3. 1 SEP to 15 OCT

    Submit UCAS

    Completed UCAS undergraduate applications can be submitted from 1 September 2026. Oxford applications must be received by UCAS by 15 October 2026 at 6pm UK time.

  4. 12 to 16 OCT

    Sit TMUA

    All applicants for Mathematics and Statistics must take the October TMUA sitting and take both Paper 1 and Paper 2.

  5. MID NOV to EARLY DEC

    Receive interview shortlisting decision

    Oxford interview invitations are normally sent between mid-November and early December; the Mathematical Institute states interview invitations are sent during November.

  6. EARLY to MID DEC

    Attend online interviews

    Shortlisted applicants attend remote, problem-based Mathematics interviews, typically 20-30 minutes with two interviewers. Candidates may have more than one interview and may be considered by more than one college.

  7. 12 JAN

    Receive Oxford decision

    Shortlisted candidates for 2027 entry are informed of the outcome via UCAS on 12 January 2027, with colleges following up directly later that day.

  8. MAY to JUN

    Reply to offers

    Applicants reply to firm and insurance choices according to the personal deadline shown in UCAS Hub. The exact 2027 reply deadline previously stated as 5 May 2027 was not verified on the live UCAS deadlines page during this audit.

  9. AUG

    Results and confirmation

    Conditional offer holders receive final confirmation once Oxford and UCAS process qualification results. The exact 2027 JCQ/A-level results date was not confirmed in the checked official pages.

Section 04

Admissions Test

Student working through problems at a desk with timed papers

For 2027 entry, Oxford requires TMUA for Mathematics / Mathematics and Statistics. The test is provided by UAT-UK and delivered online by Pearson VUE.

Oxford applicants must take both Paper 1: Applications of Mathematical Knowledge and Paper 2: Mathematical Reasoning. The 2027-entry October sitting is scheduled for 12-16 October 2026; UAT-UK notes that candidates in China, Hong Kong and Macau may take TMUA only on 15 and 16 October 2026.

Registration account creation, access arrangements and bursary requests open on 1 June 2026 at 3pm UK time, and test booking opens on 20 July 2026 at 3pm BST. Booking closes on 28 September 2026 at 6pm BST.

This is a major change for Oxford Mathematics applicants: for 2027 entry, TMUA replaces the previous MAT route. Oxford states there is no published pass mark, and TMUA is considered alongside UCAS information and school background when shortlisting.

For international students, TMUA gives Oxford another common measure across different school systems. In reality, that means preparation needs to be planned early, especially where test-centre availability or local sitting dates are narrower.

Full TMUA preparation guide | format, scoring, strategy, and practice resources.

TMUA Guide →

Section 05

The Interview: What to Expect

Invitation → Decision: the interview timeline

Interview Invitation

Late Nov

Arrival to Interview

Early Dec

Technical Question

Mid Dec

Decision

Early Jan

Question Types You’ll See

Discuss an area of mathematics already studiedWork through a technical point such as curve sketching or an algebraic methodSolve an unfamiliar problem while talking through the reasoningUse a new mathematical definition to work out consequencesAdapt an approach after receiving hints or alternative perspectives

Oxford's Mathematics interviews are problem-based academic discussions in an online mathematical tutorial style. They test mathematical potential, structured thinking, response to unfamiliar problems, use of new ideas and clarity of reasoning.

The dialogue matters more than polished performance. Practise aloud with problems where you have to explain why a method works, not just give a final answer.

Typical question types include discussing mathematics already studied, working through curve sketching or algebraic methods, solving unfamiliar problems and adapting after hints. It helps to treat a hint as information, not as a sign that the interview has gone badly.

Practise with realistic questions from our free mock interview question bank.

Free Mock Questions →
Two people in academic discussion across a table

Section 06

How Decisions Are Actually Made

Oxford decisions are based on a combined academic picture rather than a single score. The Mathematical Institute uses admissions-test information and the UCAS form in shortlisting.

Context also matters, but it does not replace subject evidence. The useful question is whether your application shows enough mathematical reach, precision and teachability across several pieces of evidence.

Our recommendation · weighting of admission factors

01020304035%
TMUA score
30%
Interview
20%
Predicted grades
10%
Personal statement
5%
Contextual factors
% of decisionFactor

Oxbridge Mentors recommendation, drawn from observed offer patterns. University of Oxford does not publish official weightings — exact balance varies by college, course and year.

Section 07

Personal Statement Tips

Handwritten notes and a laptop open to a draft document

A good Mathematics and Statistics personal statement should not try to sound like a miniature research paper. We recommend using two or three examples where you can explain what you investigated, what became difficult, and what changed in your thinking.

For this course, it helps to connect pure mathematical reasoning with probability, statistics or data. A project that compares a simulation with an exact probability argument can be more convincing than a long reading list with no reflection.

Avoid claiming certainty too early. Oxford's structure keeps Mathematics and Mathematics and Statistics joint until after the fourth term, so it is reasonable to show breadth while making clear why statistics and uncertainty interest you; for example, you might explain how a probability model, statistical simulation or critique of a dataset changed your mathematical judgement.

See a full annotated example with line-by-line expert commentary.

Mathematics and Statistics PS Example →

Section 08

Projects

  1. 01Justification
  2. 02Project Brief
  3. 03Explain Exactly What You Did
  4. 04Difficulties
  5. 05Solutions
  6. 06Reflection

Projects are useful when they show mathematical ownership. We recommend projects that produce written reasoning, code, a worked example, or a clear correction of a false start.

For a Mathematics and Statistics project, make the mathematical spine visible: state the question, define the assumptions, show the proof or model, test it with examples or simulation where relevant, explain what failed, and say what the failure taught you about the mathematics.

  • From proof to model: Take one result from school-level pure mathematics and write a short proof-focused notebook explaining the theorem, examples, and where naive solutions break down.
  • Probability simulation and proof: Choose a probability problem with an exact theoretical answer, simulate it, compare simulation with proof, and reflect on convergence and assumptions.
  • Statistics in the wild: Analyse a public dataset, define a question, clean data, fit a simple model or confidence interval, and critique what the data can and cannot support.
Open books, a notebook, and a coffee on a wooden desk

Section 08

Other Supercurriculars

Other supercurricular work should support mathematical depth, not replace it.

These are support, not substitute. One thoughtful activity with proper reflection is more useful than a long list.

  • Olympiad-style problem solving:

    Use UKMT, BMO And similar problems to build stamina with unfamiliar questions; keep a corrections log.

  • Proof communication:

    Practise writing clean, rigorous solutions rather than only final answers.

  • TMUA preparation:

    Use official specification, practice materials and timed multiple-choice practice.

  • Programming for statistics:

    Use Python, R or similar tools to simulate probability models and visualise data, keeping emphasis on mathematical assumptions.

  • Mathematical reading:

    Choose books or lectures that stretch school mathematics into proof, abstraction or statistical reasoning.

  • Explaining mathematics:

    Teach a problem to a peer or record yourself explaining a proof.

Section 08

Competitions

Competitions and STEP-style practice are editorial enrichment recommendations, not official Oxford admissions requirements. They can still be useful because they stretch unfamiliar problem solving and proof-style thinking, especially when you review mistakes carefully.

  • ** UK Senior Mathematical Challenge **, Fluent problem solving, number sense, combinatorics, geometry and logical reasoning under time pressure. Work through UKMT past papers, review every missed problem, and practise spotting efficient routes.
  • ** British Mathematical Olympiad **, Extended proof-based problem solving across olympiad-style topics. Practise full written solutions and focus on proof clarity.
  • ** STEP past papers **, Long-form mathematical reasoning beyond standard school exercises. Use selected past questions as stretch practice; STEP is preparation rather than an Oxford requirement.
  • ** Mathematical Olympiad for Girls **, Challenging proof and problem-solving questions aimed at girls and young women in school years 11-13. Attempt past papers in timed blocks, then rewrite solutions fully.
  • Hans Woyda Mathematics Competition— Team-based mathematical problem solving, mental agility and speed across varied rounds. Practise mixed-topic problems under short time limits and explain solutions aloud.

None are required; one or two done well beats five half-attempted.

Section 09

Course Structure

  1. Year

    01 / 04

    1

    Year 1

    Common foundations in mathematics and statistics

    First year is a common foundation shared with single-subject Mathematics, covering pure mathematics, applied mathematics, probability, statistics and computation before later route choice.

    Shared first-year platform before the Mathematics and Statistics route is chosen.

  2. Year

    02 / 04

    2

    Year 2

    Core mathematics plus the Mathematics and Statistics branch point

    Second year keeps a compulsory mathematical core while Mathematics and Statistics gives probability and statistics a central role. Students decide after the fourth term whether to continue with Mathematics or Mathematics and Statistics.

    Formal route choice after four terms preserves flexibility.

  3. Year

    03 / 04

    3

    Year 3

    Advanced options across mathematics and statistics

    Third year is built around advanced options. For Mathematics and Statistics, Applied and Computational Statistics is a compulsory Part B element according to the Mathematical Institute prospectus.

    The three-year BA can be completed at this point, while eligible students may continue to the MMath.

  4. Year

    04 / 04

    4

    Year 4

    MMath-level specialisation and dissertation

    Optional fourth year leads to the integrated MMath and allows deeper specialisation. For Mathematics and Statistics, the prospectus describes a statistics project/dissertation and specialist statistics/probability units.

    MMath-level specialist work includes a substantial statistical project/dissertation.

Section 10

Building Mathematics and Statistics Knowledge

For mathematical breadth:

  • What Is Mathematics? By Richard Courant and Herbert Robbins, revised by Ian Stewart, is useful because it is a classic bridge from school mathematics to deeper proof, structure and mathematical taste.
  • How to Solve It by George Pólya is useful because it is a guide to mathematical problem-solving habits and heuristic thinking.

For statistics and applied judgement:

  • The Art of Statistics by David Spiegelhalter is useful because it builds statistical judgement and data literacy through real-world examples.
  • An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani and Jonathan Taylor is useful because it is a free introduction to modern statistical learning for motivated statistics applicants.
  • The Pleasures of Counting by T. W. Körner is useful because it shows how mathematical thinking connects to real problems and applied reasoning.

For visual explanation and public lectures:

  • Oxford Mathematics Helps with official public lectures, student lectures and research films from the Oxford Mathematical Institute.
  • 3Blue1Brown Helps with visual explanations for algebra, calculus, linear algebra and probability.
  • Numberphile Helps with accessible conversations with mathematicians that can spark reading trails.
  • StatQuest helps with clear statistical and machine-learning explanations.

For listening and statistical judgement:

  • The Numberphile Podcast is worth using because it offers long-form interviews with mathematicians and mathematically minded thinkers.
  • More or Less: Behind the Stats Is worth using because it develops awareness of how statistics are used and misused in public debate.
  • The Joy of Why Is worth using because it explores research-level ideas through careful conversations.

For structured online study:

  • MIT OpenCourseWare 18.05: Introduction to Probability and Statistics gives you a structured free course for probability and statistics beyond school level.
  • MIT OpenCourseWare 18.01SC: Single Variable Calculus Gives you a resource useful for strengthening calculus fluency and conceptual understanding.
  • Khan Academy Statistics and Probability gives you a broad revision path for core probability and statistics concepts.
  • Seeing Theory gives you interactive visual explanations of probability and statistics.
  • Essence of Linear Algebra gives you a visual route into vector spaces, transformations and eigenvectors.
A study planner, highlighters and a stack of revision cards

Section 11

College Choice & Reallocation

29 colleges offer this subject. Around 20% of applicants submit an open application. Around one third of applicants may be reallocated across Oxford; the Mathematical Institute states around 25-30% of offers for Mathematics-related courses are not with the applicant's first college. of places come through the pool.

Applicants may name a college or submit an open application.

Around 20% of applicants make an open application, and Oxford states tutors have no preference for open or direct applications. The Mathematical Institute states that around 25-30% of offers for Mathematics-related courses are not with the applicant's first college.

College choice should mainly be a living and learning environment decision. All Mathematics students attend the same departmental lectures and sit the same examinations.

Stone college quadrangle viewed through an archway

Section 12

Career Prospects

Oxford describes quantitative skills from Mathematics and Statistics as highly valued across public and private sectors; in historic Oxford Careers Service data, around 30% of Mathematics graduates went on to further study, with common professional routes including finance, consultancy and IT.

The practical takeaway is simple: this degree keeps options open because it trains proof, modelling and quantitative judgement. We recommend using the course to build evidence for the kind of work you want next, whether that is research, finance, data science, actuarial work, software or policy analysis.

Section 13

Contextual Circumstances

Oxford shortlisting considers UCAS information alongside contextual information about school background and factors that may explain achieved or predicted grades. For Mathematics and joint honours, there is no TMUA pass mark; test information is considered with the UCAS application and school background.

Further Mathematics is recommended, and Oxford expects applicants with access to Further Mathematics to take it while recognising cases where it is not available. GCSEs, where taken, are considered as one measure of academic achievement and contextualised with cohort data about the school where they were achieved.

Disruption, disability, care experience, school access to subjects and other educational circumstances should be disclosed through the relevant UCAS, school-reference or Oxford-specific routes.

Watch & Learn

Helpful Videos for Mathematics and Statistics at Oxford

Student vlogs, mock interviews, lecture tasters, and admissions advice.

Vectors | Chapter 1, Essence of linear algebra

A visual introduction to vectors and linear-algebra thinking.

Bayes theorem, the geometry of changing beliefs

A conceptual visual explanation of Bayesian updating.

Bayes' Theorem, Clearly Explained!!!!

A step-by-step StatQuest explanation of Bayes theorem.

Chance, luck, and ignorance: how to put our uncertainty into numbers

Oxford Mathematics public lecture by David Spiegelhalter on probability, uncertainty and judgement.

Statistics: Why the truth matters - Tim Harford

Oxford Mathematics public lecture on statistical reasoning and public claims.

All videos are the property of their respective creators.

Further Reading

Recommended Resources

Super-curricular reading, websites, and tools recommended by our expert tutors.

Frequently Asked Questions

For 2027-entry information, Oxford presents a combined Mathematics / Mathematics and Statistics admissions page. Admission is joint with Mathematics, and students do not choose between Mathematics and Mathematics & Statistics until the end of their fourth term at Oxford.
The current official Oxford course page lists UCAS code G100 for Mathematics / Mathematics and Statistics. This corrects the older registry value GG13.
Yes. Oxford lists TMUA for Mathematics / Mathematics and Statistics. For 2027 entry, applicants applying in 2026 must take the October TMUA sitting, scheduled for 12-16 October 2026.
No. The official Oxford course page lists Written Work: None for Mathematics / Mathematics and Statistics.
Mathematics is required and Further Mathematics is recommended. For A-level applicants, Oxford standard offer is A*A*A with A*s in Mathematics and Further Mathematics if Further Mathematics is taken.
Oxford Mathematical Institute describes Mathematics interviews as remote, typically 20-30 minutes long, with two interviewers, and focused on unfamiliar problems, mathematical reasoning, response to hints and clarity of explanation.
College choice is not a simple route to an easier offer. Oxford states tutors have no preference between open and direct applications, and reallocation helps balance strong applicants across colleges.
Oxford lists careers for Mathematics graduates including finance, consultancy and IT, as well as further study. Mathematics and Statistics also supports data science, actuarial work, statistical modelling, research and quantitative roles, but invented placement percentages should be avoided.

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