Fees and key information

Course type
Undergraduate
UCAS code
F123
Entry requirements
This course is subject to validation
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Why study this course?

Our Artificial Intelligence and Robotics BEng degree with foundation year is a comprehensive programme designed to offer learners specialised expertise and invaluable hands-on experience in AI and robotics. You'll learn key skills within AI, software programming, user-centred design and more, preparing you for a diverse career in this exciting industry.

As a Bachelor of Engineering, you'll be equipped with the expertise to pursue an engineering career in a diverse range of sectors following your degree.

Our Artificial Intelligence and Robotics degree course features an integrated foundation year, offering you the chance to build up important core knowledge at the beginning of your studies. During this year, you'll develop essential skills relating to artificial intelligence and related technologies, setting you up for success throughout your degree.  

This four-year artificial intelligence degree course is delivered from London Metropolitan University's Holloway campus, just a short journey away from London's most historic landmarks and global tech businesses. Modules are designed to offer an engaging learning experience and enhance your chances of course success, incorporating traditional lectures, interactive tutorials and innovative lab-based workshops.

The following two years of this course are designed to teach you key skills in subjects essential to all engineering disciplines, including teaching core AI and robotics expertise.

In your third year of this AI degree, you'll have the opportunity to select a key subject of interest from within the AI and robotics space, including electronic systems, programming, microprocessors, network engineering and more. With the continued support of your supervisor, you'll then embark on and specialise in an individual project based on your subject of choice.

During your studies, you'll have easy access to extensive learner support, supplementary resources and study materials through our virtual learning environment (VLE) . You'll have the opportunity to work within industry-standard facilities, including engineering modelling and simulation laboratories, production laboratories and professional research centres.

Hands-on learning experience

Gain valuable experience through hands-on learning in dedicated laboratories and immersive learning environments.

Preparation for diverse careers

Prepare for careers in diverse sectors including Robotics, Automation, and much more.

Work-related experience

The integrated work-related learning program provides you with valuable opportunities to gain practical work experience.

Join our next virtual open event on Thursday 23 January at 5pm

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Course details

In addition to the University's standard entry requirements, you should have:

  • a minimum of 32 UCAS points from an A Level or equivalent Level 3 qualification ( e.g. BTEC National, Subsidiary or Extended Diploma).
  • English Language and Mathematics  at grade C/4 or above (or equivalent).

Accreditation of Prior Learning

Any university-level qualifications or relevant experience you gain prior to starting university could count towards your course at London Met. Find out more about applying for Accreditation of Prior Learning (APL).

English language requirements

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Student visa (previously Tier 4) you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. This course requires you to meet our standard requirements.

If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

There will be a range of assessment methods employed throughout the course, including:

  •     In-class assignments
  •     workshops
  •     presentations
  •     formal exams

The choice of assessment methods is deliberate, designed to inspire students to perform at their best and engage in meaninful learning activities.

Upon graduation, you will be well-prepared to pursue rewarding and successful careers in diverse fields, including robotics, automation, manufacturing, aerospace, systems analysis, security, and artificial intelligence. Furthermore, you will be equipped to pursue further academic study at an advanced level, such as pursuing MSc or PhD research. In fact, this course will be a gateway to our MSc in Robotics with AI.

If you study your undergraduate degree with us, as a graduate of London Met, you'll be entitled to a 20% discount on a postgraduate course if you continue your studies with us.
* exclusions apply

Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees.

Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.

Discover Uni – key statistics about this course

Discover Uni is an official source of information about university and college courses across the UK. The widget below draws data from the corresponding course on the Discover Uni website, which is compiled from national surveys and data collected from universities and colleges. If a course is taught both full-time and part-time, information for each mode of study will be displayed here.

How to apply

If you're a UK applicant wanting to study full-time starting in September, you must apply via UCAS unless otherwise specified. If you're an international applicant wanting to study full-time, you can choose to apply via UCAS or directly to the University.

If you're applying for part-time study, you should apply directly to the University. If you require a Student visa, please be aware that you will not be able to study as a part-time student at undergraduate level.

When to apply

The University and Colleges Admissions Services (UCAS) accepts applications for full-time courses starting in September from one year before the start of the course. Our UCAS institution code is L68.

If you apply directly to the university, you are advised to apply as early as possible as we will only be able to consider your application if there are places available on the course.

To find out when teaching for this degree will begin, as well as welcome week and any induction activities, view our academic term dates.

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