MEng (Hons) Robotics and Artificial Intelligence Integrated Master's degree at UCL
MEng (Hons) Robotics and Artificial Intelligence at UCL. UCL's MEng (Hons) in Robotics and Artificial Intelligence is a four-year integrated Master's, giving you an extra year beyond the standard undergraduate degree to deepen your technical grounding in robotics and AI before you graduate.
About this course
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MEng (Hons) Robotics and Artificial Intelligence is an Integrated Master's degree (MEng (Hons)) at UCL, based in London. It runs 4 years, studied full-time.
For Computer science graduates from this provider, 90% were in work or further study 15 months after graduating, 90% in highly skilled roles, typical earnings around £45,000. (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)
Limited evidence Published sample: 20; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 90% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 93% (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
- Mathematics for Robotics and Artificial Intelligence 1Compulsory
- Introduction to Mechanical SystemsCompulsory
- Introduction to Programming for Robotics and Artificial IntelligenceCompulsory
- Mechatronics and MakingCompulsory
- Mathematics for Robotics and Artificial Intelligence 2Compulsory
- Introduction to ElectronicsCompulsory
- Control 1Compulsory
- Data Structures and AlgorithmsCompulsory
Year 2 8 modules
- Control 2Compulsory
- Modelling and SimulationCompulsory
- Object-Oriented Programming for Robotics and Artificial IntelligenceCompulsory
- Introduction to Machine Learning for Robotics and Artificial IntelligenceCompulsory
- Reinforcement Learning for Robotics and Artificial IntelligenceCompulsory
- Systems Engineering for Real-time SystemsCompulsory
- Optimisation, Filtering and FusionCompulsory
- Industrial Project in Robotics and Artificial IntelligenceCompulsory
Year 3 7 modules
- Sensors, Sensing and Signal ConditioningCompulsory
- Deep Learning for Robotics and Artificial IntelligenceCompulsory
- Networking, Real-time Operating Systems and SecurityCompulsory
- Simultaneous Localisation and MappingCompulsory
- Robot LearningCompulsory
- Robot PlanningCompulsory
- Robotics and Artificial Intelligence Group ProjectCompulsory
Year 4 6 modules
- Multi-agent SystemsCompulsory
- Scene Understanding and Situational AwarenessCompulsory
- Sampling, Compression and Data AnalysisCompulsory
- Human Robot InteractionCompulsory
- The Economics of RobotsCompulsory
- MEng Robotics and Artificial Intelligence Individual ProjectCompulsory
Modules 7 modules
- Inclusive Design and EnvironmentsOptional
- Innovation for a Fairer WorldOptional
- East London LabOptional
- Community Wellbeing, Health Inequalities and the role of Social PrescribingOptional
- Foundations of Citizen ScienceOptional
- Sustainability and Decision-MakingOptional
- Find your FutureOptional
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 sits within Computer Science and builds towards specialisms such as Software Engineering, Data Science, AI & Machine Learning, Cyber Security, Web & Mobile, Cloud & DevOps, Games, and HCI. Over four years you'd expect to move from core programming, mathematics and systems foundations towards more applied and research-oriented work in robotics and artificial intelligence, with the final Master's year typically involving a more substantial independent project. Because the degree is integrated rather than a bolt-on Master's, teaching across the years is designed to build progressively, so what you study in AI & Machine Learning or HCI in earlier years feeds directly into more advanced robotics-focused work later on. The breadth of specialisms listed above reflects the wider Computer Science offering at UCL, giving you some flexibility to lean towards the areas, such as data-driven approaches, systems engineering, or human-centred design, that best support your interest in robotics and AI.
Who it's for
This course suits someone who is genuinely curious about how machines sense, decide and act, not just interested in writing code, but in the mechanical, mathematical and computational problems that arise when you try to build intelligent physical or software systems. You'll likely enjoy problem-solving that spans disciplines: a bit of maths, a bit of engineering thinking, a bit of experimentation. Because it's a four-year integrated Master's, it suits people who are comfortable committing to a longer course of study and who want to reach a more advanced technical level before entering work or research, rather than those looking for the shortest route to a first job. Most students who get onto courses like this have typically come through A-levels or equivalent, often with more than 240 UCAS tariff points, though this reflects what past entrants held rather than a fixed requirement. Day to day, expect a mix of independent study, practical project work and increasingly self-directed research as you progress, so self-motivation and a willingness to work through technically demanding material matter more than raw grades alone. If you're drawn to robotics competitions, AI experimentation, or building things that respond to the real world, and you like the idea of studying in London at a research-intensive university, this is the kind of environment that should suit you well.
Careers & job market
Nationally, across Computer Science courses, 85% 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 into further study, figures that apply across the field rather than being specific to this course alone. National Graduate Outcomes data also shows that Computer Science graduates typically start on salaries between £25,000 and £35,000 at the 15-month mark, with figures of £23,375 to £33,000 after three years and £29,750 to £42,000 after five years, again, these are national ranges rather than guarantees tied to any individual or institution. Robotics and AI specifically feed into sectors such as those covered by the course's specialisms, software engineering, data science, AI & machine learning, cyber security, and others, giving graduates a fairly wide spread of potential directions rather than a single fixed career path. It's also worth noting that nationally, 85% of Computer Science students continue past their first year, which gives some indication of how manageable the transition into this kind of study tends to be once students are established.
University & format
UCL is a Russell Group higher education college based in London, founded in 1826, with 23,250 students in total across its programmes. This MEng is delivered full-time over four years, taught and assessed in English, and leads to an integrated Master's award (MEng (Hons)) rather than a separate Bachelor's followed by a Master's. The course is listed under UCAS code H700. As a recognised UK degree-awarding body, UCL's qualifications carry national recognition, and the university holds a Silver rating in the Office for Students' TEF 2023 for teaching quality, alongside its status as a member of the Russell Group of research-intensive universities.
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 | 81% |
| a Baccalaureate | 10% |
| a previous degree | 3% |
| Other | 3% |
| another higher-education qualification | 2% |
| No / unknown prior qualifications | 1% |
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 H700). 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 UCL →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 | £45,000 | £36,000 – £50,000 | 20 |
| 3 years after | £51,000 | £36,000 – £70,000 | 70 |
| 5 years after | £71,000 | £49,500 – £96,500 | 75 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 20; treat comparisons cautiously. 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. Limited evidence. Published sample: 20; treat comparisons cautiously. 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 · 85% 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: 50; response rate: 65%. 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
90% were in work or further study 15 months after graduating, with a median salary of £45,000. 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 78.7% · in work or study 90% · continued 93%.
Who studies here and in this subject?
Provider- and UK subject-level context.
University College London
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 London
12,829 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 UCL from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by UCL; 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 UCL’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 UCL and gov.uk before you apply.
Related courses
More at UCL
Common questions
How competitive is entry?
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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