Computer Science (High-Performance Graphics and Games Engineering) - MEng (Hons)

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, AugmentedVirtual 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.

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.Excludes A-level General Studies or Critical Thinking.GCSE: English Language at grade C (4) or above. We will accept Level 2 Functional Skills English in lieu of GCSE English.Extended Project Qualification and International Project Qualification: Whilst we recognise the value of these qualifications and the effort and enthusiasm that applicants put into them, we do not currently include them as part of our offer-making. We do, however, encourage you to provide further information on your project in your personal statement.Alternative qualification Access to HE Diploma 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. BTEC 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. Cambridge Pre-U D3, D3, D3 including Mathematics. International Baccalaureate 18 points at Higher level to include 5 in HL Mathematics: Analysis and Approaches or 6 in HL Mathematics: Applications and Interpretation. Irish Leaving Certificate (higher Level) H1 H2 H2 H2 H2 H2, including Mathematics. Scottish Highers / Advanced Highers AA at Advanced Higher level, including Mathematics, and AABBB at Higher level. Other Qualifications IT or Engineering Diploma: A (plus A or above in Mathematics A-level).