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Are you a UK student applying to study full-time this September? Call us on 0800 032 4441 or apply online.
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.
Apply to us for September 2026
If you're a UK student or an EU student with settled or pre-settled status applying to study full-time this September, you can simply call our hotline on 0800 032 4441 or apply online.
Why study this course?
Our Artificial Intelligence BSc (Hons) course with foundation year at London Met aims to produce a new generation of artificial intelligence professionals who combine technical fluency, ethical insight, and social purpose. The course offers a unique proposition by situating AI education within London Met's values of inclusivity, creativity and civic responsibility.
This course integrates human-centered AI, social impact design, and employability pathways that empower students to apply artificial intelligence to real-world challenges such as healthcare inequalities, sustainability, accessibility, and digitial inclusion. Students will graduate not only as skilled programmers but as reflective practitioners capable of leading change across sectors.
This foundation year helps you build your confidence and skills, as well as learn the fundamentals of AI. This course is shared alongside other foundation degrees; you'll graduate with a full undergraduate degree with the same title and award as those who studied the traditional three-year course.
Industry linked modules
Industry-linked modules co-designed with employers such as tech SMEs, creative industries, and the public sector
External partner projects
Live projects with external partners – —students solve real business or social problems using AI.
Final year AI studio
Final year AI studio: students build a professional portfolio project addressing a live AI challenge, showcased at an annual exhibition attended by employers
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 GCSE at grade C/grade 4 or above (or equivalent)
Applicants with relevant professional qualifications or extensive professional experience will also be considered on a case by case basis.
If you don't have traditional qualifications or can't meet the entry requirements for this undergraduate degree, you may still be able to gain entry by completing our Artificial Intelligence (including foundation year) BSc (Hons)
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.
Qualification requirements for students applying from outside the UK
For international entry requirements, please visit your country-specific page for detailed information on accepted qualifications and grade requirements.
There will be a range of assessment methods employed throughout the course, including in-class assignments, formal exams, and coursework.
Formative and summative feedback will be provided using a variety of methods and approaches, such as learning technologies, verbally, at various points throughout the teaching period and will adhere to the University policy regarding the timing of feedback.
Upon graduation, you'll be well prepared to pursue rewarding and successful careers in the growing field of artificial intelligence. Furthermore, you'll also be equipped to pursue further academic studies with an MSc or PhD research. This course can be a gateway to our MSc in Artificial Intelligence or Robotics with Artificial Intelligence.
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.
Apply to us for September 2026
If you're a UK student or an EU student with settled or pre-settled status applying to study full-time this September, you can simply call our hotline on 0800 032 4441 or apply online
When to apply
The University and Colleges Admissions Service (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 will be applying direct 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.
