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University of Leeds · Undergraduate
MEng (Hons) Computer Science (Artificial Intelligence) Integrated Master's degree at the University of Leeds
MEng (Hons) Computer Science (Artificial Intelligence) at University of Leeds. The University of Leeds.
MEng (Hons)
Award
4
Years
Full-time
Study mode
94%
in work/study (15m)
About this course
MEng (Hons) Computer Science (Artificial Intelligence) is an Integrated Master's degree (MEng (Hons)) at the University of Leeds. It runs 4 years, studied full-time.
For Computing graduates from this provider, 94% were in work or further study 15 months after graduating, 90% in highly skilled roles, typical earnings around £37,000. (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.
8.3
/ 10
Excellent
3 of 3 official measures
Student satisfaction
What students say in the National Student Survey
Strong78
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)
Graduate outcomes
In work or further study 15 months after graduating
Exceptional94
Moderate evidence Published sample: 30; avoid reading small differences as meaningful. Cohort 2022-23. Graduate Outcomes work or further study 94% (2022-23; Discover Uni snapshot 2026-06-21)
Continuation
Students who continue past their first year
Strong77
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 77% (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 3 modules
- ProgrammingCore40 credits
Module details
Develop core programming and problem-solving skills that form the foundation of modern software development. This module introduces key programming concepts used across industry and prepares you for advanced topics such as software engineering, artificial intelligence and cloud systems. Topics included: Introduction to programming (Python), Object-oriented programming and common libraries, Databases and SQL, Low-level programming in C
- Building our Digital World: Computer Systems and ArchitectureCore40 credits
Module details
Gain a practical understanding of how computers work at the hardware and system level. By exploring how processors, memory and instructions interact, you'll develop the system-level knowledge required for careers in software engineering, systems programming and high-performance computing. Topics included: Foundations of computer architecture, Architecture design (building a 16-bit computer from logic gates), System programming (machine code and assembly), Modern processor architectures and hardw
- Theoretical Foundations of Computer Science ICore40 credits
Module details
Build the mathematical foundations that underpin modern computer science. These concepts support advanced areas such as algorithms, cybersecurity, artificial intelligence and data science, and develop rigorous analytical and problem-solving skills valued across the technology sector. Topics included: Discrete mathematics, Graph theory and linear algebra, Calculus, Algorithms
Year 2 3 modules
- Software EngineeringCore40 credits
Module details
Develop the practical skills required to design and build large-scale software systems. Through modern programming languages, web technologies and collaborative projects, you'll gain experience working in development teams and producing software aligned with current industry practices. Topics included: Kotlin programming, Web-based systems development, Human–computer interaction and user experience, Collaborative software engineering projects
- Advanced Hardware, Operating Systems and ParallelismCore40 credits
Module details
Explore the core technologies that underpin modern computing infrastructure, including operating systems, networks and secure system design. This module develops the systems-level expertise required for careers in cloud computing, cybersecurity, infrastructure engineering and distributed systems. Topics included: Operating systems, Security and practical cryptography, Computer networks, Network and parallel programming
- Theoretical Foundations of Computer Science IICore40 credits
Module details
Deepen your understanding of algorithms, computation and mathematical modelling. These concepts underpin areas such as machine learning, large-scale data processing and complex software systems, strengthening the analytical and optimisation skills needed in advanced computing roles. Topics included: Algorithm design paradigms, Further calculus and probability, Formal languages and theory of computation, Algorithms and data structures
Year 3 6 modules
- Professional Innovation and EnterpriseCompulsory20 credits
Module details
Develop an understanding of professional practice in the technology sector, including ethics, legal responsibilities and commercial awareness. This module prepares you for graduate careers by exploring the wider social, organisational and ethical context of modern computing.
- Individual ProjectCompulsory40 credits
Module details
Undertake a substantial independent project under academic supervision, allowing you to investigate a topic aligned with your interests and career goals. You'll apply research, engineering and analytical skills to design and implement an innovative solution to a real-world computing problem.
- Artificial Intelligence and RoboticsCompulsory20 credits
Module details
Build hands-on experience with the design, implementation and evaluation of artificial intelligence systems, together with the underpinning theory. The module is divided into several topics addressing key areas of artificial intelligence. The topics will reflect research strengths in the School and prepare you to embark on projects within the artificial intelligence domain.
- Neural Networks and Deep LearningCompulsory20 credits
Module details
The module will provide the theoretical background for the most popular deep learning architectures and introduce the basic components of such networks as well as generative neural networks. Their practical implementation will be studied and applied to datasets which are common benchmarks. There is a strong emphasis on evaluating the performance of these networks and the visualization of the results.
- High Performance ComputingOptional20 credits
Module details
Take a comprehensive look at the architecture, storage and programming models integral to the world of advanced computing that power our AI focused technologies. You'll cover both homogeneous and heterogeneous computing systems and explore developments in both hardware and modern programming schemes to program shared and distributed CPU, GPGPU and other accelerators.
- Optimisation with Applications in Artificial IntelligenceOptional20 credits
Module details
Optimisation problems are everywhere. They are apparent in engineering, data science, logistics, business analytics, economics, manufacturing, services. They are less visible, but play an important role as components of various systems, such as neural networks, robotics, image processing, resource usage in distributed computing, etc. This module introduces the powerful toolkit of continuous and discrete optimisation, covering theoretical aspects and applications, with the focus on applications i
Year 4 1 modules
- Group ProjectCompulsory45 credits
Module details
You'll work as part of a group to define a problem and explore a solution. Emphasising teamwork, the module
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
You'll study Computer Science with a focus on artificial intelligence. A course like this typically begins with programming fundamentals, imperative and object-oriented languages such as Python and Java, alongside computer systems, architecture and discrete mathematics. In the second year, you'll usually move to algorithms, data structures, databases and software engineering, and encounter artificial intelligence and machine learning directly. From year three onwards, a typical course introduces specialist options such as cybersecurity, data science, software engineering, systems and networks, and human-computer interaction, alongside security and networks modules. You'll complete a substantial individual project where you design, build and evaluate a software system. Throughout, you'll develop both theoretical foundations and practical development skills.
Who it's for
This course suits graduates with A-level qualifications or equivalent. Most accepted students held A-levels or equivalent, with typical UCAS tariff scores falling between 144 and 159 points. You should have a strong foundation in mathematics and logical thinking, and a genuine interest in how artificial intelligence and machine learning shape modern computing. The programme is designed for those seeking an integrated Master's qualification that combines theoretical depth with practical application in AI-focused roles.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study within 15 months of graduating, with 75% of working graduates in highly skilled work or further study. National graduate earnings data shows starting salaries (at 15 months) typically range from £25,000 to £35,000, rising to £29,750–£42,000 after five years. These figures reflect national outcomes rather than university-specific guarantees. First-year retention stands at 85% across the student cohort. Career prospects remain strong in AI, software development, data science, and related technology sectors.
University & format
This is a 4-year full-time MEng (Hons) Integrated Master's degree taught in English at the University of Leeds, a public Russell Group university. Teaching is assessed Silver by the Office for Students' TEF 2023. The University of Leeds is a recognised UK degree-awarding body; your degree will be nationally recognised.
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.
Application timelineWhat happens next
- 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.
Published entryAAA typical offer · specific subject requirements
Provider-published requirement; check the linked course page before applying.
AccreditationBCS
Names detected beside accreditation or recognition copy on the provider course page; verify the route and intake.
PlacementPublished placement option
Work placement. Availability, selection and pay can vary.
Entry & how to get in
Typical offer (from the provider)The university’s course page lists a typical A-level offer of AAA specific subject requirements. Always check the provider for the current offer and subject requirements.
Most entrants held A-levels or equivalent100% of accepted students came in with A-levels or equivalent (entrants over recent years).
Typical UCAS tariff: 144 - 159 pointsThe most common UCAS tariff band among accepted students. This is what entrants had, not a stated requirement.
Entry requirements are set by the universityGrades, subjects and contextual offers vary. Check the University of Leeds's official course page for the current offer.
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.
Competitive entry
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.
Your UCAS points0
▾
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Add your grades to see where you land
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.
Apply by13 January 2027, 18:00 UK timefor this course
Typical gradesA*AAA-level equivalent admitted students held
UCAS codeG702quote this on your application
- 1Register on UCAS Hub
Create your UCAS application and add this course (code G702). 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.
💡 Many universities make a contextual (reduced-grade) offer, for example based on your school’s results, time in care, or where you live. Ask University of Leeds whether you’re eligible before you apply; it can lower the grades you need.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Homeup to £9,790 / yr
Internationalset by the university
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at University of Leeds →For students who normally live in England
illustrative Maintenance Loan per year
£9,790tuition used per year, illustrative full-time England fee-cap scenario
illustrative borrowing over 4 years
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.
Funding matched to this course
All University of Leeds funding →Scholarships & bursaries you could qualify for
Named awards published by the university. Compare the eligibility and application route before budgeting for one.
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Check eligibility →Amounts, exclusions and deadlines can change. An award is not guaranteed unless the university confirms it.
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Career quizApplication walkthroughSalary & CV check
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 | £37,000 | £32,000 – £47,000 | 30 |
| 3 years after | £39,500 | £30,000 – £48,000 | 65 |
| 5 years after | £46,500 | £33,500 – £64,000 | 70 |
Nominal earnings for graduates of this course/subject at this provider. Moderate evidence. Published sample: 30; avoid reading small differences as meaningful. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
94%
in work or further study 15 months on
90%
in highly skilled work or study
77%
continue past their first year
70%
find their work meaningful
80%
say work fits their future plans
- 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
Starting (15 months) HESA GO
£37,000
£25,000 – £35,000After 3 years LEO
£39,500
£23,375 – £33,000After 5 years LEO
£46,500
£29,750 – £42,000national rangethis course’s medianaxis £21,500 – £48,500
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.
94 of 100
were in work or further study
15 months after graduation
80% working10% working and studying5% in further study90% in highly skilled work or study
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Moderate evidence. Published sample: 30; 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.
This course £46,500Peer median £34,500Middle 50% £29,000–£43,000
87th percentile
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 · 80% 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: 90; response rate: 55%. 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.
85%
in work or further study 15 months after graduating, across Computer Science courses nationally.
Graduate Outcomes75%
of working graduates are in highly skilled work or further study.
highly skilled85%
of students continue past their first year (still enrolled or completed).
continuationHow 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) LimitedLive from the StudySmarter job board · as of 2026-08-01.See all matching jobs
Is 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
94% were in work or further study 15 months after graduating, with a median salary of £37,000. 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 8.3 out of 10: NSS 77.9% · in work or study 94% · continued 77%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Leeds
All students34,580
International31.5%
Aged 25+13.6%
Computing across the UK
Students205,990
Aged 25+31.2%
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around The University of Leeds
3,846 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Violent Crime 1125Shoplifting 724Other Theft 322Public Order 319Anti Social Behaviour 305
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 Leeds from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by University of Leeds; 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 Leeds’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 Leeds and gov.uk before you apply.
Related courses
More at University of Leeds
Common questions
How competitive is entry?
Entry is competitive. Accepted students typically held strong UCAS tariffs. The most common tariff band among recent entrants was 144 - 159 UCAS points. Use the calculator on this page to see where your predicted grades would put you; many universities also make lower contextual offers.
What are the entry requirements?
Set by the University of Leeds. Most accepted students held A-levels or equivalent. Check the university's course page for the exact offer.
What do graduates go on to do?
For Computing graduates from this provider, 94% were in work or further study 15 months after graduating, 90% in highly skilled roles, typical earnings around £37,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
What will it cost me?
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. See Fees & funding on this page to work out your numbers.
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