University of Leeds Open Day - 12 June
12 Jun 2026, 09:00
Leeds
The multi-billion-pound global games industry is one of the most performance-driven areas of computer science. Along with video and console games, the popularity of exciting new immersive games, high-fidelity mobile and eSports are all on the rise – all of which is fuelling the huge growth of this fast-paced sector.
Successful computer graphics programmers push computing resources to the limit using a deep understanding of architecture and high-performance programming to generate new levels of graphical realism and visual effects on cutting-edge hardware platforms. Working at the top end of the games industry, they focus on developing computer graphics on high-performance platforms, and writing engines for the next generation of games.
Studying computer science with high-performance graphics and games engineering at Leeds will equip you with the core technical and problem-solving skills to tackle current and emerging challenges. This course has been developed in collaboration with industry meaning you’ll be learning the latest innovations and most up to date skills in the field.
You’ll gain proficiency in low-level programming (C++, Graphic and Compute shaders), a thorough understanding of multi-core and many-core programming techniques, game engine and tool development techniques, and fundamental insight into graphics and the practical techniques used in games including geometric models, animation and simulation, and advanced methods for visual realism. 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.
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 this course is for you. 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.
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.
The following entry points are available for this course:
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.
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.
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | No less than 5.5 in each section. |
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.
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.
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.
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.
For further information please see http://www.leeds.ac.uk/undergraduatefees
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