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.
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.
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)
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.
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.
Part-time application dates vary by provider. UCAS dates
Names detected beside accreditation or recognition copy on the provider course page; verify the route and intake.
Work placement. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
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 & 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.
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 F122). 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 Apply directly to the provider
Part-time application dates vary by provider. 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 LMU →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 | £26,000 – £45,000 | 770 |
| 3 years after | £26,500 | £19,500 – £38,500 | 20 |
| 5 years after | £33,000 | £22,500 – £44,500 | 25 |
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
- 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.
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.
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.
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.
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
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 North
5,613 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 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.
Related courses
More at LMU
Common questions
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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