Course summary
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. 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.
How to apply
This course is not open to application until the 13th May 2025.
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
Please select a course option – you will then see the application code you need to use to apply for the course.
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.
Entry requirements
Qualification requirements
A level - AAA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - D*D*D
Access to HE Diploma - D: 30 credits M: 15 credits
Scottish Higher - AABBB
International Baccalaureate Diploma Programme
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017) - H1, H2, H2, H2, H2, H2
Cambridge International Pre-U Certificate - Principal - D3, D3, D3
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.
Please click the following link to find out more about qualification requirements for this course
English language requirements
Test | Grade | Additional details |
---|---|---|
IELTS (Academic) | 6 | No 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
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
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
Provider information
University of Leeds
Woodhouse Lane
Leeds
LS2 9JT