MMath (Hons) Mathematics with Data Science Integrated Master's degree at the University of Surrey
MMath (Hons) Mathematics with Data Science at University of Surrey. You'll develop strong mathematical foundations alongside practical skills in handling and interpreting data, essential for roles across technology, finance, research and beyond.
About this course
Our Maths with Data Science degrees explore the fundamentals of maths, data science and statistics including algebra, reasoning, advanced calculus and more. From the provider’s course page.
MMath (Hons) Mathematics with Data Science is an Integrated Master's degree (MMath (Hons)) at the University of Surrey. It runs 4 years, studied full-time.
For Mathematics graduates from this provider, 85% were in work or further study 15 months after graduating, 80% in highly skilled roles, typical earnings around £33,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, 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: 30; avoid reading small differences as meaningful. Cohort 2021-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 91% (2022-23; 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 8 modules
- CALCULUSCompulsory
Module details
This module introduces students to the most important techniques in Calculus. In particular, the module leads to a deeper understanding of the concepts of differentiation and integration. These concepts provide fundamental tools for quantitative descriptions of the real world across the entirety of applied mathematics. Tools and methods for differentiation and integration will be presented in detail. In addition, simple first and second order ordinary differential equations will be studied. Such
- ALGEBRACompulsory
Module details
This module combines an introduction to abstract algebra and methods of proof, with an introduction to vectors and matrices with applications to algebraic and geometric problems. This module is fundamental to subsequent modules including MAT1034 Linear Algebra and MAT2048 Groups & Rings.
- REAL ANALYSIS 1Compulsory
Module details
This module is an introduction to analysis, which is the branch of mathematics that rigorously studies functions, continuity and limit processes, such as differentiation and integration. The module leads, among other things, to a deeper understanding of what it means for a sequence or series to converge. Tools such as convergence tests are presented and their validity proved, and the rigorous use of definitions and logic play a central role. This course lays the foundations for the Level 5 modul
- PROBABILITY AND STATISTICSCompulsory
Module details
Probability is a numerical description of random events, and statistics is the science of collecting and analysing data from these random events and modelling them with random variables. Students will be introduced to the basic concepts of probability distributions, hypothesis testing and random variables. These concepts are fundamental in probability and statistics and lay the foundations for Level 5 Mathematical Statistics (MAT2013), Linear Statistical Methods (MAT2053) and Stochastic Processe
- LINEAR ALGEBRACompulsory
Module details
This module is an introduction to Linear Algebra, a fundamental mathematical discipline that revolves around the exploration of vector spaces as well as linear maps between these spaces. This often necessitates the solution of systems of linear equations, which are elegantly described by matrices and vectors. Techniques from Linear Algebra find application in numerous disciplines ranging from pure and applied mathematics to many fields of science, engineering, computing and economics. This modul
- CLASSICAL DYNAMICSCompulsory
Module details
Much of the way that mathematicians model the physical world today relies on the mathematical framework set out by Newton in the 17th century. In this module, we take as our starting point Newton's laws of motion and examine how they may be applied to study the dynamics of particles and mechanical systems. This module provides a foundation for MAT3008 Lagrangian and Hamiltonian Dynamics.
- MATHEMATICAL PROGRAMMING AND PROFESSIONAL SKILLSCompulsory
Module details
Programming is a companion to the modern mathematician and provides a means to tackle and provide insight into problems which are insoluble by analytical means alone. This module will first develop core programming capability and knowledge of fundamental aspects of programming, including loops, functions and conditional statements. Building on these foundations, the module will then cover aspects of the analysis and visualisation of data, including linear regression to model and interpret quanti
- MULTIVARIABLE CALCULUSCompulsory
Module details
This module introduces students to Multivariable Calculus in two and three dimensions, and selected topics such as differential operators and line integrals in Vector Calculus. This extends students' knowledge developed in MAT1030 Calculus on differentiation and integration of single variable functions to partial differentiation, and double and triple integration of two and three-variable functions. This module provides the necessary ground work for modules such as MAT2047 Curves and Surfaces, M
Year 2 4 modules
- ORDINARY DIFFERENTIAL EQUATIONSCompulsory
Module details
This module builds on the differential equation aspects of the Level 4 modules Calculus and Linear Algebra and considers qualitative and quantitative aspects of Ordinary Differential Equations.
- OPERATIONS RESEARCH AND OPTIMIZATIONCompulsory
Module details
This module introduces a variety of commonly used techniques from Operations Research. The module leads to a deeper understanding of linear programming problems and the theory that underpins their solving. Tools such as the Simplex Method are presented and an introduction to nonlinear optimisation methods is also provided. This module supports and complements other modules where optimisation and constrained optimisation are considered.
- REAL ANALYSIS 2Optional
Module details
Analysis is the branch of mathematics that rigorously studies functions, continuity, differentiability and integration. This module builds on Level 4 Real Analysis 1 (MAT1032) by studying these concepts in a more formal way and hence provides a deeper understanding of these concepts.
- MATHEMATICAL STATISTICSOptional
Module details
Statistics is the science of collecting and analysing data from random events and modelling them using random variables. This module first recaps the properties of a single random variable as seen in Level 4 Probability and Statistics (MAT1033), then builds on this by considering multiple random variables simultaneously.
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
This course explores the fundamentals of mathematics, data science and statistics, including algebra, reasoning and advanced calculus. You'll usually begin with programming fundamentals (such as Python and Java), computer systems architecture, and discrete mathematics. In Year 2, a typical progression moves to algorithms and data structures, databases and software engineering, and artificial intelligence with machine learning. From Year 3 onwards, you'll select specialist options in areas such as artificial intelligence, cybersecurity, data science, software engineering, systems and networks, and human-computer interaction. You'll also undertake a substantial individual project, allowing you to apply your knowledge in a supervised software build and evaluation.
Who it's for
This course suits graduates with strong mathematical ability who want to specialise in data-driven problem-solving. Most accepted students held A-levels or equivalent qualifications, typically with a UCAS tariff of 128–143 points. You'll benefit from this degree if you're interested in applying mathematics to real-world challenges in technology, business intelligence, or scientific research.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating, with 75% in highly skilled roles or continuing their education. Graduate earnings data shows starting salaries typically between £25,000 and £35,000, rising to £29,750–£42,000 after five years. You may specialise in areas such as Software Engineering, Data Science, AI & Machine Learning, Cyber Security, Web & Mobile, Cloud & DevOps, Games, or HCI, each opening different career paths.
University & format
This is a 4-year, full-time Integrated Master's degree (MMath (Hons)) taught in English at The University of Surrey, a public university. The degree is recognised by the UK degree-awarding body framework and carries a Silver award for teaching quality in the Office for Students' TEF 2023.
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.
Provider-published requirement; check the linked course page before applying.
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 | 85% |
| another higher-education qualification | 10% |
| a Baccalaureate | 3% |
| a previous degree | 1% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Entry is set by the university and based on your offer. Use your predicted grades to see how you compare, then check the university's stated requirements.
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 G1G8). 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 University of Surrey →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 Computer Science 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 | £33,000 | £28,500 – £35,000 | 30 |
| 3 years after | £34,000 | £27,500 – £43,000 | 135 |
| 5 years after | £44,000 | £35,500 – £56,000 | 135 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 30; avoid reading small differences as meaningful. Cohort 2021-23.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science 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: 30; avoid reading small differences as meaningful. Cohort 2021-23. 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 Computer Science courses at the same study level.
Compared with 1,820 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.
- Information Technology ProfessionalsSOC 2020 213 · 70% of published destinations · ASHE median £55,357
- Finance ProfessionalsSOC 2020 242 · 35% of published destinations · ASHE median £47,173
- Business, Research and Administrative ProfessionalsSOC 2020 243 · 25% of published destinations · ASHE median £48,746
- Business and public service associate professionalsSOC 2020 35 · 15% of published destinations · ASHE median £38,760
- Teaching and Childcare Support OccupationDiscover Uni category · 10% of published destinations
- Caring personal servicesSOC 2020 613 · 10% of published destinations · ASHE median £23,668
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: 85; response rate: 55%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Is MMath (Hons) Mathematics with Data Science worth it?
Generally yes. On its graduates’ median earnings, MMath (Hons) Mathematics with Data Science is worth about +£160,840 more over the first ten years of work than going straight to a job, a solid return once you net out the fees.
Cumulative earnings vs. going straight to work at 18, counting tuition and 4 years of wages given up while studying. The line clears zero around year 11.6. This is a simplified gross-earnings comparison, not a forecast of cash loan repayments.
Model: this course’s own median graduate earnings (Graduate Outcomes / LEO) above the £24,000 non-graduate baseline (ONS), net of £9,790/yr over 4 years (published course home fee). Eligible England-domiciled students can apply for a Tuition Fee Loan; repayments are 9% only on income above the threshold, with anything left written off after 40 years. That makes the cash flow different from conventional commercial debt. Opportunity cost assumes £18,000 gross earnings forgone in each study year; figures are nominal and exclude tax, living costs, investment returns and loan interest. A simplified estimate. Earnings and actual fees vary by graduate, provider, fee status and UK nation.
Job market & outlook
How Computer Science 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
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science 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
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
Published home tuition is £9,790/year for this course. 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
85% were in work or further study 15 months after graduating, with a median salary of £33,000. 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 8.7 out of 10: NSS 85% · in work or study 85% · continued 91%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Surrey
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around University of Surrey
1,620 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 Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to University of Surrey from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £21,800 / 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 University of Surrey’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 University of Surrey and gov.uk before you apply.
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Common questions
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