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Computer Science (Artificial Intelligence) (Industrial)

Course details
  • MEng (Hon)
  • 5 Years
  • Full-time with year in industry
  • 23 September 2026
  • Undergraduate
Course location
Main Site

Course summary

Become an expert in one of the fastest developing and most exciting areas of computer science to help industries everywhere tackle the digital challenges of tomorrow.

AI touches nearly every industry everywhere.

It’s radically changing the way we interact with each other, process data and make decisions – and it’s evolving every day.

From commerce to healthcare, AgriTech to government, gaming to finance – innovators in computer science and AI are often at the forefront of new technological developments and already creating the solutions of tomorrow.

This degree gives you those core foundations in algorithm design, problem solving and practical programming, alongside specialist AI skills in machine learning, neural networks, and big data processing.

This integrated Masters also gives you an extra year to advance your skills, taking on a group project and choosing from a range of industry-relevant optional modules across everything from robotics to data science and bio-inspired computing.

With AI transforming industries across the globe, this degree will help answer that demand and open the doors to exciting opportunities in this rapidly growing field.

Industrial placement year
This programme gives you the opportunity to undertake a paid industrial placement year as part of the course. Our close industry links give you the platform to apply to a number of major organisations such as Arm, Mercedes-Benz and Lloyds Banking Group.

"I learned so much and I've got some really useful skills - I hadn't done much programming before I started, but now, I've worked on some great projects. For my first-year programming project, I made a game called 'The Cave'. It's a bit like Pac-Man but a little more sinister!"

Ashley Oldershaw, Computer Science (Artificial Intelligence) MEng, BSc

Rankings and awards
Top 100 in the world, QS World University Rankings 2026

Why study at Leeds

  • Globally-renowned research: This feeds directly into your course, shaping your learning with the latest thinking in everything from AI to biomedicine, algorithms to computational engineering – and beyond.

  • Benefit from specialist facilities: Study in our purpose-built hub, the William Henry Bragg Building, with custom teaching labs containing high-spec Linux machines and a range of collaborative and quiet study spaces. Take a virtual tour.

  • Get access to industry experts: Gain insights from experts and graduates who are shaping the future of the tech sector. Our programme of talks gives you the chance to ask questions, make connections and get inspiration for your future career.

  • Gain real-world experience: Enhance your career prospects and give your CV that competitive edge before you graduate by applying for a paid industrial work placement year.

  • Bring your skills to life outside the classroom: Our extra-curricular activities include a 24-hour hackathon backed by industry sponsors and CompSoc, a hands-on integrated design project, the UKIEPC national programming competition hosted on campus, building a rocket with the Leeds University Rocketry Association or attending the British Computing Society’s Women Lovelace Colloquium.

Where this degree could take you
Our graduates find employment across a range of sectors, including:

  • non-governmental organisations

  • government agencies

  • education

  • media

  • gaming

  • technology

  • consultancies

  • finance (& finance technologies)

  • retail

  • research & development

Careers support
Top 10 most targeted for 10+ years by the UK's leading employers, The Graduate Market 2026, High Fliers Research

At Leeds, we help you to prepare for your future from day one.

Our Careers Service has the global expertise and sector-spanning industry partnerships that, combined, go way beyond simply helping you get a job. They provide you with the resources you need to upskill and achieve the future you aspire towards – even in the face of lightning-paced change.

How to apply

Apply by
14 January

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G704
Institution code:
L23
Campus name:
Main Site
Campus Code:
-

Points of entry

The following entry points are available for this course:

  • Year 1
  • Year 2

Entry requirements for advanced entry (i.e. into Year 2 and beyond)

Subject to places being available, you must achieve our published first year entry requirements and the relevant % average in your first year of study. Learning outcomes of year 1 of the degree programme you are applying to must also have been met.

Open days

Entry requirements

A level
AAA

AAA including Mathematics.

Where an A-level Science subject is taken, we require a pass in the practical science element, alongside the achievement of the A-Level at the stated grade.

Excludes A-level General Studies or Critical Thinking.

GCSE: English Language at grade C (4) or above, or an appropriate English language qualification. We will accept Level 2 Functional Skills English in lieu of GCSE English.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
D*D*D

DDD with Distinctions in all Mathematics units. Mathematics units must include Further Mathematics. This unit may be optional on your BTEC but is it required by the Faculty.

Access to HE Diploma
D: 45 credits M: 15 credits

Pass 60 credits overall with 45 credits at Level 3, 30 credits with Distinction (including an appropriate number of Mathematics modules) and the remaining 15 credits with Merit or above.

Scottish Higher
AABBB

AA at Advanced Higher level, including Mathematics or Computing, and AABBB at Higher level.

International Baccalaureate Diploma Programme

18 points at Higher level to include 5 in HL Mathematics: Analysis and Approaches or 6 in HL Mathematics: Applications and Interpretation.

Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
H1, H2, H2, H2, H2, H2

H1 H2 H2 H2 H2 H2, including Mathematics.

Cambridge International Pre-U Certificate - Principal
D3, D3, D3

D3, D3, D3 including Mathematics.

We typically receive a high number of applications for this course. To ensure we treat all applications fairly, we may put your application on hold until after the UCAS deadline before making a final decision. All applications received before the UCAS deadline are guaranteed equal consideration. For further information visit our course page.

Find out more about qualification requirements for this course.

English language requirements

TestGradeAdditional details
IELTS (Academic)6No less than 5.5 in each section.
English Language at grade C (4) or above, or an appropriate English language qualification is also required.

For other English qualifications, read English language equivalent qualifications.https://www.leeds.ac.uk/international-admissions/doc/entry-requirements

Contextual admissions

Universities and colleges consider more than grades when assessing applications and may make offers based on a range of criteria. Learn more about contextual offers.

If the most common grade accepted is higher than our entry requirements, this is due to the attainment of our applicants. If you have been made an offer and you meet or exceed the grades of your offer, you will be accepted.

If grades lower than our entry requirements have been accepted, in most cases this is because we operate contextual admissions as part of our decision making, which considers factors beyond grades. For more information about contextual admissions, please visit our website.

Learn more on the University of Leeds website

Historical entry grades data

This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).

It is designed to support your research but does not guarantee whether you will or won't get a place.

Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website.

Additional fee information

For further information please see http://www.leeds.ac.uk/undergraduatefees

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