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Computer Science (Artificial Intelligence)

Study level:
Undergraduate

Course summary

Artificial intelligence is one of the fastest developing areas of computer science. It is being used in exciting new ways to enhance and evolve computer games, web search, biometric systems and many other areas. Artificial intelligence is also being applied to important economic and societal issues in fields such as medicine, health, transport and smarter cities.

Developments in artificial intelligence are radically changing the way that we interact with each other, process data and make decisions. From commerce to healthcare, from agritech to government – innovators in computer science and artificial intelligence and are often at the forefront of new technological developments and already creating the solutions of tomorrow.

Successful computer scientists are not only skilled programmers, but they are also highly creative thinkers and problem-solvers who are adept at handling complex information. Computing touches every industry, everywhere, so computer scientists and artificial intelligence specialists are in demand in a variety of sectors.

Studying a computer science with artificial intelligence degree at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges in this fast-changing field. Alongside technical skills such as algorithm design, problem solving and practical programming, you'll develop a raft of vital workplace skills such as collaborative working and project management, as well as studying specialist artificial intelligence topics such as machine learning, deep learning, text analytics and their applications in areas from vision to automated reasoning.

You’ll also be taught in our brand new, purpose-built hub for students and academics – the Sir William Henry Bragg Building – which is home to leading research and specialist teaching facilities here on campus.

If you want to be challenged, to work in multidisciplinary teams, solve global and emerging challenges and have a portable and highly sought-after skill set then studying computer science is a great option. The topics you’ll study reflect the latest developments in computer science, equipping you with the key knowledge, skills and experience you need to begin your career in this highly valued profession.

Why study at Leeds:

  • Our globally-renowned research feeds directly into your course, shaping your learning with the latest thinking in areas such as algorithms and complexity, artificial intelligence, computational science and engineering, biomedicine & health and distributed systems and services.

  • Experience expert teaching delivered by a programme team made up of academics and researchers who specialise in a variety of computing areas.

  • Access excellent facilities including two custom-built teaching laboratories containing high-specification Linux machines and a range of collaborative and quiet study spaces.

  • Enhance your career prospects and give your CV that competitive edge before you graduate with our industrial work placement opportunities. Our close industry links have given previous students the chance to work at — and build professional relationships with — organisations such as Apple, Microsoft and Amazon.

  • Gain invaluable life experience and advance your personal development with our exciting study abroad programmes, spanning across universities worldwide.

  • Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded peers and enjoy a variety of social, professional and academic events including Hackathons, community outreach and professional networking. CompSoc also hosts sports teams and academic support groups.

How to apply

Apply by
29 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:
G702
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.

This course may be available at alternative locations, please check if other course options are available.

Course options

Open days

Entry requirements

Qualification 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

D*D*D 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 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.

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 BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted 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.

Data from:
This course and 5 other computer science courses
Date range:
2022-2024

Offer rate for UK school & college leavers

57% Students aged 17/18 who applied to this course were offered a place.

How do you compare?

See how students with your grades have been accepted onto this course in the past.

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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