MSci (Hons) Data Science Integrated Master's degree at the University of Exeter
MSci (Hons) Data Science at University of Exeter. Data science at Exeter is studied as an integrated master's, meaning you move directly from a broad computing foundation into specialist, master's-level work without needing to apply separately for postgraduate study.
About this course
Explore what Exeter graduates do | Career Zone | University of Exeter Section links Career Planning Reflect on yourself Explore your options Exploring Postgraduate Study Employment Sectors Explore what Exeter graduates do Anthropology Arab and Islamic Studies Archaeology Art History and Visual Culture Biosciences Class From the provider’s course page.
MSci (Hons) Data Science is an Integrated Master's degree (MSci (Hons)) at the University of Exeter, based in Streatham Campus. It runs 4 years, studied full-time.
For Computer science graduates from this provider, 95% were in work or further study 15 months after graduating, 85% in highly skilled roles, typical earnings around £39,000. (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: 35; avoid reading small differences as meaningful. Cohort 2022-23. Graduate Outcomes work or further study 95% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 96% (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
- Fundamentals of Machine LearningCompulsory15 credits
- ProgrammingCompulsory15 credits
- Social and Professional Issues of the Information AgeCompulsory15 credits
- Object-Oriented ProgrammingCompulsory15 credits
- Computers and the InternetCompulsory15 credits
- Data Structures and AlgorithmsCompulsory15 credits
- Discrete Mathematics for Computer ScienceCompulsory15 credits
- Computational MathematicsCompulsory15 credits
Year 2 9 modules
- Machine Learning and Data ScienceCompulsory15 credits
- Team ProjectCompulsory15 credits
- Software DevelopmentCompulsory15 credits
- Database Theory and DesignCompulsory15 credits
- Statistical Modelling and InferenceCompulsory30 credits
- Data Science in SocietyCompulsory15 credits
- Computational IntelligenceOptional15 credits
- Artificial Intelligence and ApplicationsOptional15 credits
- Outside the box: Computer Science Research and ApplicationsOptional15 credits
Year 3 29 modules
- Data Science at ScaleCompulsory15 credits
- Probabilistic Machine LearningCompulsory15 credits
- Individual Literature Review and ProjectCompulsory45 credits
- Group Development ProjectCompulsory30 credits
- Individual Research ProjectCompulsory30 credits
- Computer VisionOptional15 credits
- Social Networks and Text AnalysisOptional15 credits
- Enterprise ComputingOptional15 credits
- Nature-Inspired ComputationOptional15 credits
- Computability and ComplexityOptional15 credits
- Algorithms that Changed the WorldOptional15 credits
- High-Performance ComputingOptional15 credits
- Commercial and Industrial ExperienceOptional15 credits
- Mathematics: History and CultureOptional15 credits
- Stochastic ProcessesOptional15 credits
- Statistical InferenceOptional15 credits
- Bayesian Statistics, Philosophy and PracticeOptional15 credits
- Network ScienceOptional15 credits
- Text Mining and Natural Language ProcessingOptional15 credits
- Deep LearningOptional15 credits
- Generative AI ApplicationsOptional15 credits
- Large Language Models and ApplicationsOptional15 credits
- Machine LearningOptional15 credits
- Evolutionary Computation and OptimisationOptional15 credits
- Computer Modelling and SimulationOptional15 credits
- Building Secure and Trustworthy SystemsOptional15 credits
- Security Assessment and ValidationOptional15 credits
- Statistical Modelling in Space and TimeOptional15 credits
- Statistical Data ModellingOptional15 credits
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 course covers the mathematical and programming groundwork needed for data science - including statistics, algorithms and software development - before moving into more advanced material such as machine learning, data mining and large-scale data handling. As you progress, there's scope to explore related areas within computer science more broadly, such as Software Engineering, AI & Machine Learning, Cyber Security, Web & Mobile, Cloud & DevOps, Games, and HCI, allowing you to shape your studies towards the parts of computing that interest you most alongside the core data science content. The final master's-level year typically involves a substantial independent project, giving you the chance to apply what you've learned to a real research or applied problem in depth.
Who it's for
This course suits someone who's comfortable with numbers and logical problem-solving, and who's curious about what can be learned from data rather than just how to write code. You might enjoy spotting patterns, testing ideas, and figuring out why something isn't working - and be prepared to sit with a problem until it clicks. Because the degree runs a year longer than a standard bachelor's, it's worth considering if you're happy committing to sustained study and want the extra time to specialise before entering work or research. Most students who take this route come in with A-levels or equivalent, typically within the 128-143 UCAS tariff range, though this reflects what past entrants have held rather than a strict requirement. You should be someone who's motivated to work independently as the course progresses, particularly in the final year's project, and who's interested in the practical and ethical questions that come with working on real datasets.
Careers & job market
Data science and computer science graduates nationally go on to a range of work in analytics, software, research and related fields. Across Computer Science courses nationally, 85% of graduates are in work or further study 15 months after graduating, and 75% of those working are in roles classed as highly skilled. Nationally reported earnings for this subject area show starting salaries (15 months after graduating) typically between £25,000 and £35,000, moving to £23,375-£33,000 after three years and £29,750-£42,000 after five years - these are national Graduate Outcomes/LEO figures for the subject, not figures specific to Exeter graduates or any guaranteed outcome. Nationally, 85% of students continue past their first year of study, which gives some sense of course completion across the sector.
University & format
The University of Exeter is a public, research-intensive university and a member of the Russell Group, founded in 1955. This MSci (Hons) Data Science is delivered full-time over four years at the Streatham Campus, taught in English. The university holds a Gold rating in the Office for Students' TEF 2023 for teaching quality and was.
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.
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 | 80% |
| another higher-education qualification | 10% |
| a Baccalaureate | 5% |
| a foundation course | 3% |
| an Access course | 2% |
| Other | 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. 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
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at University of Exeter →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 | £39,000 | £31,500 – £45,000 | 35 |
| 3 years after | £40,500 | £32,500 – £51,000 | 30 |
| 5 years after | £58,000 | £37,000 – £68,500 | 35 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 35; avoid reading small differences as meaningful. Cohort 2022-23.
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: 35; 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 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
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: 70%. Pay describes the occupation across workers, not a guaranteed graduate salary.
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
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
95% were in work or further study 15 months after graduating, with a median salary of £39,000. 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 9.0 out of 10: NSS 79.7% · in work or study 95% · continued 96%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Exeter
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 Streatham Campus
1,452 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 Exeter from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by University of Exeter; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. 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 Exeter’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 Exeter and gov.uk before you apply.
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Common questions
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