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Computer Science (Industrial)

Course details
  • MEng (Hon)
  • 5 Years
  • Full-time with year in industry
  • 23/09/2026
  • Undergraduate
Course location
Main Site

Course summary

Computer science is a dynamic and fast-moving area of study which opens opportunities in many different industrial sectors. Developments in computer science are radically changing the way that we interact with each other, process data and make decisions.

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. From commerce to healthcare, AgriTech to government – computing touches every industry, everywhere. That’s why computer scientists are often at the forefront of new technological developments, creating the solutions of tomorrow.

Studying computer science 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. You'll also be taught in our purpose-built hub for students and academics – the Sir William Henry Bragg Building – which is home to world-leading research and specialist teaching facilities right 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.

Studying computer science is the perfect foundation for a career in Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Software Engineering (full stack development), Blockchain development, Augmented/Virtual Reality or Data Science.

Computer Science provides essential knowledge in algorithms, data structures, and programming—key skills needed to develop Artificial Intelligence systems. Computer science also covers machine learning, neural networks, and big data processing, all of which are critical for building and improving AI models. With AI transforming industries from healthcare to finance, a strong background in computer science opens 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 Apple, Microsoft and Amazon.

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.

  • Enhance your career prospects and give your CV that competitive edge before you graduate with a paid industrial placement year.

  • 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.

  • 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 host sports teams and academic support groups.

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:
G403
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

Qualification requirements

A level - AAA

A-level: 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. GCSE: English Language grade 4 (C) or higher, or an equivalent English language qualification. We will accept Level 2 Functional Skills English instead of GCSE English. Extended Project Qualification (EPQ), International Project Qualification (IPQ) and Welsh Baccalaureate Advanced Skills Challenge Certificate(ASCC): We recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, and where an applicant offers an A in the EPQ/IPQ/ASCC we may make an offer of AAB at A-Level including A in Mathematics.

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: 30 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.

This course is not accepting applications for deferred entry.

Find out more about qualification requirements for this course.

English language requirements

TestGradeAdditional details
IELTS (Academic)6No less than 5.5 in each section.

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 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.

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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