BEng (Hons) Artificial Intelligence and Robotics · LMUBachelor's degree · Duration varies
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London Metropolitan University · Undergraduate

BEng (Hons) Artificial Intelligence and Robotics Bachelor's degree at London Metropolitan University

BEng (Hons) Artificial Intelligence and Robotics at LMU is recognised as a UK degree-awarding body, ensuring your qualification holds national standing.

BEng (Hons)
Award
Years
Part-time
Study mode
75%
continuation

About this course

Specialise your skills and knowledge with our Artificial Intelligence and Robotics BEng (Hons) at London Metropolitan University. Apply now! From the provider’s course page.

BEng (Hons) Artificial Intelligence and Robotics is a Bachelor's degree (BEng (Hons)) at LMU, based in North. It is studied part-time; duration varies by route.

For Computing graduates from this provider, 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.

7.1
/ 10
2 of 3 official measures
Student satisfaction
What students say in the National Student Survey
Strong67

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)

Continuation
Students who continue past their first year
Strong75

Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2021-23. Continuation 75% (2021-23; Discover Uni snapshot 2026-06-21)

Curriculum & modules

Real modules published for this course, grouped only where the source gives a year, stage or level.

Year 1 4 modules
  • Communications Engineeringcore30 credits
    Module details

    This module introduces fundamental concepts in Information and Communication Technology (ICT), providing students with a clear understanding of its principles and real-world applications. It explores how ICT is integrated into everyday life and examines its impact across various sectors. Additionally, the module addresses key ethical, social, economic, and environmental issues related to ICT field, encouraging critical thinking about its broader implications.

  • Electronics Systemscore30 credits
    Module details

    Electronic systems are essential across various industries, enabling automation, communication, and efficient data processing. In consumer electronics, they drive smartphones, laptops, smartwatches, and gaming consoles, ensuring seamless connectivity and fast processing. In healthcare, electronic systems power medical imaging devices, pacemakers, robotic surgical systems, and patient monitoring tools. This module introduces students to the most used electronic devices and their applications in s

  • Logic and Mathematical Techniquescore30 credits
    Module details

    This module develops a range of mathematical techniques including set theory, logic, relations and functions, algebra, differentiation and integration. The techniques provide the foundation for further study of mathematics and related applications in Computer Science, Computer Games Programming, Computer Systems Engineering and Robotics and Electronics and Internet of Things.

  • Programmingcore30 credits
    Module details

    This is an introductory programming module, designed to develop interest, ability and confidence in using a programming language. Students will gain the basic knowledge and experience to solve simple programming problems using established techniques in program design, development and documentation. It is expected that on completion of this module, students will be able to design, implement and test object-oriented programs.

Year 2 6 modules
  • AI for Roboticscore15 credits
    Module details

    The "AI for Robotics" module offers students a thorough exploration of implementing AI within the robotics domain. Covering essential algorithms like Simultaneous Localization and Mapping (SLAM), Automatic Navigation (AutoNav), computer vision, etc., students gain hands-on experience in algorithmic implementation through practical workshops. The students will also be introduced to real-world applications spanning industrial automation, autonomous vehicles, and medical robotics, analysing case st

  • AI with ROScore15 credits
    Module details

    The "AI with ROS" module has been meticulously crafted to offer students a comprehensive hands-on experience in implementing cutting-edge AI algorithms. Designed to equip students with the skills required to thrive as ROS developers in the robotics industry, this module encompasses practical workshops focused on implementing SLAM and AutoNAV algorithms. Through immersive learning experiences, students will tackle diverse scenarios, honing their ability to implement various AI algorithms while en

  • Advanced Electronics Systemscore15 credits
    Module details

    Electronic systems are essential across various industries, enabling automation, communication, and efficient data processing. In consumer electronics, they drive devices such as smartphones, laptops, smartwatches, and gaming consoles, ensuring seamless connectivity and rapid processing. In healthcare, these systems power critical technologies including medical imaging devices, pacemakers, robotic surgical systems, and patient monitoring tools, all of which contribute to improved diagnostics and

  • Microprocessors & Embedded Systemscore30 credits
    Module details

    Microprocessors are essential across various industries, driving automation, data processing, and intelligent decision-making. In healthcare, microprocessors power medical devices such as MRI scanners, ultrasound machines, pacemakers, insulin pumps, and wearable health monitors, enabling accurate diagnostics and real-time patient monitoring. In consumer electronics, microprocessors are integral to smartphones, laptops, tablets, smartwatches, and gaming consoles, ensuring fast computing, seamless

  • Network Operating Systemscore15 credits
    Module details

    Network Operating Systems (NOS) are crucial across various industries, ensuring efficient communication, security, and resource management among networked devices. In corporate and enterprise networks, businesses depend on NOS for file sharing, email servers, cloud computing, and centralized security management, enabling seamless collaboration and data protection across multiple locations. In healthcare, NOS supports hospital networks, electronic health records (EHRs), telemedicine platforms, an

  • Sensors, Actuators and Controlcore15 credits
    Module details

    Sensors, actuators, and control systems are essential in various industries, enabling automation, monitoring, and...

Modules 2 modules
  • Work Related Learning
  • Applied Robotics

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 specialise your skills and knowledge in artificial intelligence and robotics within a broader computer science foundation. A course like this typically moves from programming fundamentals, using languages such as Python and Java, through core topics including computer systems and architecture, discrete mathematics, algorithms and data structures, databases and software engineering. In the middle years, you'll study artificial intelligence and machine learning alongside practical work in building systems. Later, you'll usually choose from specialist areas such as cybersecurity, data science, software engineering, systems and networks, and human-computer interaction. You'll also normally undertake security and networks study, and conclude with a substantial supervised individual project that you'll design, build and evaluate.

Who it's for

This course suits those seeking to develop expertise in artificial intelligence and robotics whilst maintaining flexibility through part-time study. It's designed for learners who want to engage with contemporary computing challenges, from machine learning systems to cyber security and cloud infrastructure. Whether you're transitioning into tech, deepening existing knowledge, or balancing study with work or other commitments, the part-time format allows you to progress at your own pace whilst earning a nationally recognised degree.

University & format

This BEng (Hons) is delivered part-time at London Metropolitan University, a public university in the North. The course is taught in English and leads to a Bachelor's degree recognised by the UK degree-awarding body. The university holds Silver for teaching quality in the Office for Students' TEF 2023 and is. Check the university's funding pages for information on bursaries and scholarships.

Student satisfaction

How students on this course answered the National Student Survey, by theme.

The teaching on my course
74%
Learning opportunities
65%
Assessment and feedback
73%
Academic Support
68%
Organisation and management
68%
Learning resources
73%
Student voice
45%

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 entry deadlineApply directly to the provider

Part-time application dates vary by provider. UCAS dates

AccreditationIET

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.

Open daysOpen days (opens in new tab/window)

See and book current events. Dates can fill or change.

2026 entryLive availability check

Opened 2 July 2026; last choice 19 October 2026. Check vacancies now. A cached page never claims a place is still available.

Entry & how to get in

Entry requirements are set by the universityGrades, subjects and contextual offers vary. Check LMU's official course page for the current offer.

Entry & your chances

An honest read from the official entry data, plus your personal match.

Offer-based entry

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.

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 byApply directly to the providerfor this course
UCAS codeF122quote this on your application
  1. 1
    Register on UCAS Hub

    Create your UCAS application and add this course (code F122). One application covers up to five choices.

  2. 2
    Write 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.

  3. 3
    Submit by Apply directly to the provider

    Part-time application dates vary by provider. Source: UCAS 2027 dates.

  4. 4
    Reply to your offers

    When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.

  5. 5
    Results 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 LMU 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 LMU →

For students who normally live in England

illustrative Maintenance Loan per year
Check providertuition used per year, no published course home fee, total not estimated
total borrowing, course length not published

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

Scholarships & bursaries you could qualify for

All LMU funding →
No verified named award is shown for this provider yet.

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.

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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.

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

WhenMedianTypical rangeGraduates
15 months after£33,000£26,000 – £45,000770
3 years after£26,500£19,500 – £38,50020
5 years after£33,000£22,500 – £44,50025

Nominal earnings for graduates of this course/subject at this provider. Stronger evidence. Published sample: 770. Cohort 2021-22.

Graduate outcomes, 15 months on: this course

75%
continue past their first year
  1. 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
  2. 2Software EngineerShipping features end-to-end · 2–5 yrs
  3. 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
  4. 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs

How pay grows: this course vs Computer Science nationally

Starting (15 months) HESA GO
£33,000
£25,000 – £35,000
After 3 years LEO
£26,500
£23,375 – £33,000
After 5 years LEO
£33,000
£29,750 – £42,000
national rangethis course’s medianaxis £22,000 – £43,500

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.

75 of 100

continued or completed

continued into the next year or completed their qualification

Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2021-23. Stronger evidence. Published sample: 770. Cohort 2021-22. 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 £33,000Peer median £34,500Middle 50% £29,000–£43,000
45th percentile

Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.

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 Outcomes
75%
of working graduates are in highly skilled work or further study.
highly skilled
85%
of students continue past their first year (still enrolled or completed).
continuation

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.

Where they work

  • Tech companies
  • Banks & fintech
  • Consultancies
  • Government (GDS) & startups

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

Most graduates were in work or further study, with a median salary of £33,000. See the full breakdown in Careers & earnings above.

Official-data snapshot

Averaging the official measures published for it, this course scores 7.1 out of 10: NSS 66.6% · continued 75%.

Who studies here and in this subject?

Provider- and UK subject-level context.

London Metropolitan University

All students13,665
International22.8%
Aged 25+60.1%

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 North

5,613 street-level reports returned within roughly one mile across 2026-04 to 2026-06.

Anti Social Behaviour 1394Violent Crime 1266Theft From The Person 584Shoplifting 576Other Theft 406

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 LMU from outside the UK involves: fees, English, visa, funding and living costs.

Tuition fees

International tuition is set per course by LMU; 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 LMU’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 LMU and gov.uk before you apply.

Common questions

Set by LMU. Check the university's course page for the exact offer.
For Computing graduates from this provider, typical earnings around £33,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
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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