MMath (Hons) Mathematics and Statistics Integrated Master's degree at Durham University
MMath (Hons) Mathematics and Statistics at Durham University. Rather than stopping at Bachelor's level, the extra year allows you to push further into the subject, building on your first three years with a fourth that deepens your grasp of both mathematics and statistics and gives you room to work at…
About this course
Mathematics and Statistics G114 - Durham University Skip to main content MMath (Hons) Mathematics and Statistics Take your knowledge of mathematical techniques and statistical principles to a higher level. From the provider’s course page.
MMath (Hons) Mathematics and Statistics is an Integrated Master's degree (MMath (Hons)) at Durham University, based in Durham Campus. It runs 4 years, studied full-time.
For Mathematics graduates from this provider, 86% were in work or further study 15 months after graduating, 82% in highly skilled roles, typical earnings around £31,500. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Mathematics, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Moderate evidence Published sample: 60; avoid reading small differences as meaningful. Cohort 2022-23. Graduate Outcomes work or further study 86% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2021-23. Continuation 90% (2021-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
Year 1 7 modules
- AnalysisCompulsory
Module details
Aims to provide an understanding of real and complex number systems, and to develop rigorously the calculus of functions of a single variable from basic principles.
- CalculusCompulsory
Module details
Builds on ideas of differentiation and integration in A level mathematics, beginning with functions of a single variable and moving on to functions of several variables. Topics include methods of solving ordinary and partial differential equations, and an introduction to Fourier Series and Fourier transforms.
- Linear AlgebraCompulsory
Module details
Presents mathematical ideas, techniques in linear algebra and develops geometric intuition and familiarity with vector methods in preparation for more demanding material later in the course.
- Dynamics & RelativityCompulsory
Module details
Develops an understanding of elementary classical Newtonian dynamics as well as exploring the basics of special relativity. Students will also develop an ability to formulate and solve basic problems in dynamics and relativity.
- ProbabilityCompulsory
Module details
Introduces mathematics ideas on probability in preparation for more specialised material later in the course. The module presents a mathematical subject of key importance to the real-world (applied) that is based on rigorous mathematical foundations (pure).
- ProgrammingCompulsory
Module details
Taught via lectures and practical sessions that introduce basic principles and competence in computer programming. You will also study control structures; floating point arithmetic; and lists, strings and introduction to objects.
- StatisticsCompulsory
Module details
Introduces frequentist and Bayesian statistics and demonstrates the relevance of these principles and procedures to real problems. This module lays the foundations for all subsequent study of statistics.
Year 2 4 modules
- Mathematical MethodsCompulsory
Module details
Provides an understanding of calculus in more than one dimension, together with an understanding of, and facility with, the methods of vector calculus. It explores the application of these ideas to a range of forms of integration and to solutions of a range of classical partial differential equations.
- Statistical InferenceCompulsory
Module details
Introduces the main concepts underlying statistical inference and methods. This module develops the foundations underlying classical statistical techniques, and the basis for the Bayesian approach to statistics. You will also investigate and compare frequentist and Bayesian approaches.
- Data Science and Statistical ModellingCompulsory
Module details
Equips you with the skills to import, explore, manipulate, model, and visualise real datasets in R. It introduces simulation methods and their application, and develops practical understanding of linear models, including analysis of variance, model selection, diagnostics, and transformation methods.
- Discrete MathematicsOptional
Year 4 12 modules
- ProjectCompulsory
Module details
You will investigate a statistical topic of interest or perform an in-depth analysis of a data set using the tools acquired earlier in the course. You then produce a written report and give a short presentation. Subject to availability, you may have the opportunity to perform this project in collaboration with an external organisation. The project develops your research and communication skills which are important for future employment or postgraduate studies. You can choose to take either the P
- Internship ProjectCompulsory
Module details
Gives you the opportunity to conduct a substantial piece of independent statistics and machine learning work in a real-world context working with a third party, and to write up and present this work. This will further your analytical, collaborative and transferable skills, and your knowledge of the practice of statistics and machine learning, as well as advance your abilities in oral or written communication. You can choose to take either the Internship Project or the Project.
- Advanced Statistical ModellingOptional
- Bayesian Computation and ModellingOptional
- Decision TheoryOptional
- Machine Learning and Neural NetworksOptional
- Mathematical FinanceOptional
- Stochastic ProcessesOptional
- Spatio-Temporal StatisticsOptional
- High-Dimensional Statistics and Deep LearningOptional
- Non-Parametric StatisticsOptional
- Uncertainty Quantification and Clinical TrialsOptional
Year 3 4 modules
- AlgebraOptional
- Complex AnalysisOptional
- Computational MathematicsOptional
- Methods of Mathematical PhysicsOptional
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
The four years are structured to take you from grounding to genuine independence in the subject. Early study establishes core theory across both mathematics and statistics, giving you the shared mathematical language that underpins everything that follows. From there, you move into research & methods, learning how mathematicians and statisticians actually investigate problems, followed by applied practice, where techniques are tested against real, often messy, data and scenarios rather than idealised textbook examples. As you progress you'll choose from specialist options such as those offered across the mathematics and statistics curriculum, allowing you to steer the course towards the areas that interest you most. A substantial independent project gives you the chance to work on a piece of research or extended analysis largely under your own direction, mirroring the kind of self-directed work expected at Master's level. Professional skills are woven throughout, so that by graduation you leave not only with technical fluency but with the communication and problem-solving habits employers and further study both demand.
Who it's for
This course suits someone who already knows they enjoy mathematics and statistics enough to want a fourth year of it, someone who finds satisfaction in working through a proof, testing a model against data, or chasing down why a result doesn't quite behave as expected. You'll likely be someone who's comfortable with abstraction but also curious about how theory plays out in applied, real-world contexts, since the course moves between both. It suits people who like a degree of independence in their work and who are looking forward to an extended project where they can follow their own questions rather than a fixed syllabus. Most students accepted onto this course arrive with A-levels or equivalent, typically in the 160–175 UCAS tariff range, though this reflects what recent entrants have held rather than a fixed requirement. If you're the sort of person who wants to leave university with a Master's-level qualification already in hand, and who is happy committing an extra year to get there, this is likely to feel like a natural fit.
Careers & job market
Nationally, across Mathematics courses, 89% of graduates are in work or further study 15 months after graduating, and 75% of those in work are in roles classed as highly skilled or are continuing their studies. These are national Graduate Outcomes figures for the subject as a whole, not specific to Durham, but they give a sense of the kind of destinations mathematics and statistics graduates tend to reach. National earnings data (LEO) shows graduates typically starting on £27,000–£34,000 fifteen months after graduating, with a range of £25,925–£36,600 after three years and £32,300–£45,600 after five years, again, national figures reflecting the spread of outcomes across the subject rather than a guaranteed salary for any individual graduate. Continuation into further study is also common in this field: nationally, 89% of students continue past their first year, either still enrolled or having completed their course, indicating that most who begin this kind of degree see it through.
University & format
Durham University is a public, research-intensive institution and a member of the Russell Group, founded in 1832 and home to a total of 19,520 students. It was and holds a Silver award for teaching quality in the Office for Students' TEF 2023. This MMath (Hons) Mathematics and Statistics (UCAS code G114) is a four-year, full-time integrated Master's degree taught in English on the Durham campus. As a recognised UK degree-awarding body, Durham's qualifications carry national recognition on completion.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
The provider publishes contextual-offer information. Eligibility and any reduced offer are applicant-specific.
Placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 100% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code G114). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Provider fee page (England 2026/27 cap where not stated).
Check fees at Durham University →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Mathematics graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £31,500 | £27,500 – £38,500 | 60 |
| 3 years after | £36,000 | £29,500 – £44,500 | 240 |
| 5 years after | £50,000 | £35,500 – £66,000 | 275 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 60; avoid reading small differences as meaningful. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 1Graduate roleFirst role after the degree · 0–2 yrs
- 2Specialist / PractitionerWorking in mathematics · 2–5 yrs
- 3Senior / LeadLeading work and people · 5–10 yrs
- 4Head of / ExpertSenior leadership or deep expertise · 10+ yrs
How pay grows: this course vs Mathematics nationally
National figures for Mathematics graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Moderate evidence. Published sample: 60; avoid reading small differences as meaningful. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Mathematics courses at the same study level.
Compared with 421 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Business, Research and Administrative ProfessionalsSOC 2020 243 · 25% of published destinations · ASHE median £48,746
- Information Technology ProfessionalsSOC 2020 213 · 21% of published destinations · ASHE median £55,357
- Finance ProfessionalsSOC 2020 242 · 14% of published destinations · ASHE median £47,173
- Teaching ProfessionalsSOC 2020 231 · 10% of published destinations · ASHE median £42,660
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 220; response rate: 58%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Mathematics graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Routine information gathering
- First-draft writing and summaries
- Standard analysis and admin
- Repetitive processing tasks
More human than ever
- Judgement and original thinking
- Working with and leading people
- Owning and sense-checking AI output
- Ethics and accountability
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Mathematics graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Banks & insurers
- Consultancies
- Government statistics
- Tech companies
Jobs after this course
Current roles from the StudySmarter job board that suit Mathematics graduates.
Mathematics Expert - 34877TuringMathematics Academic Mentor (Secondary School)Ribbons and Reeves LimitedMathematics Graduate Get into IT and Data Analytics Royston HertsProxime LimitedMathematics Department Lead for Strategic ExcellenceSupply Star Recruitment LimitedMathematicsHaysIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
86% were in work or further study 15 months after graduating, with a median salary of £31,500. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 8.4 out of 10: NSS 75.6% · in work or study 86% · continued 90%.
Who studies here and in this subject?
Provider- and UK subject-level context.
University of Durham
Mathematical sciences across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Durham Campus
698 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Mathematics right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to Durham University from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £33,700 / year for this course (from the provider’s fee page). You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check Durham University’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with Durham University and gov.uk before you apply.
Related courses
More at Durham University
Common questions
How competitive is entry?
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What do graduates go on to do?
What will it cost me?
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