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Computer Science (High-Performance Graphics and Games Engineering) (Industrial)

1 Study option · UndergraduateMain Site

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.

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.

How to apply

Application codes

Course code:
I6K9
Institution code:
L23

Open days

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.

Student Outcomes

Operated by the Office for Students

81 Employment after 15 months (Most common jobs)

94 Go onto work and study

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

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