IT
Why IT at Leeds The School of Computing has earned accreditation from the British Computing Society (BCS), confirming that its programs meet rigorous professional standards. Students work in two specialized labs equipped with high-performance Linux machines, alongside spaces designed for both collaborative and independent study. Through partnerships with major tech companies, many graduates find their …
Why IT at Leeds
The School of Computing has earned accreditation from the British Computing Society (BCS), confirming that its programs meet rigorous professional standards. Students work in two specialized labs equipped with high-performance Linux machines, alongside spaces designed for both collaborative and independent study. Through partnerships with major tech companies, many graduates find their way to Apple, Microsoft, and Amazon—often building these connections while still enrolled. According to High Fliers Research’s The Graduate Market 2024, University of Leeds graduates rank among the top five most sought-after by employers.
Computer Science with AI and Practice
The Computer Science (Artificial Intelligence) (Industrial) BSc blends technical training with hands-on projects, preparing specialists who understand machine learning, deep learning, text analytics, and automated reasoning. Classes take place in the Sir William Henry Bragg Building, where research labs support advanced work in algorithm design and programming. What sets this program apart is its paid industrial placement year, during which students can apply to companies like Apple, Microsoft, Amazon, or PwC—tackling real challenges in AI, cybersecurity, or full-stack development while gaining invaluable professional experience.
Computer Science with Industrial Placement
This three-year Computer Science (Industrial) BSc builds foundational knowledge of hardware, software engineering, and mathematical principles while sharpening critical thinking and creative problem-solving. Ethics modules draw on real cases, bringing in specialists to explore topics from ethical hacking to open-source development and personal data use. Beyond academics, students complete a paid year-long internship that lets them engage with leading tech organizations, establishing professional networks before graduation through the university’s close ties with the industry.
Computer Science BSc at University of Leeds
Computer Science BSc cultivates professional capabilities across diverse IT careers, offering deep insights into hardware, software engineering, and core mathematical concepts. Personalized study plans help each student progress toward their own goals, becoming specialists whom employers actively seek. The curriculum also lays groundwork for fields like artificial intelligence, cybersecurity, cloud computing, or blockchain—preparing graduates who are valued for technical expertise, commercial awareness, and independence across startups, multinational corporations, and non-governmental organizations alike.
Graphics and Gaming Engineering MSc
This one-year High-Performance Graphics and Games Engineering MSc trains developers for a global gaming sector worth billions. Its curriculum, shaped by a prestigious steering group, covers low-level programming, multithreading techniques, and the creation of game engines and tools—grounding students in graphics fundamentals with practical applications. They access cutting-edge equipment, from VR headsets to workstations with powerful GPUs for DirectX12 and Vulkan development. Meanwhile, University of Leeds’ partnership with the Alan Turing Institute and connections throughout the gaming world, including the annual Game Republic showcase, open additional career pathways.
Advanced Computer Science MSc
Advanced Computer Science MSc addresses cutting-edge topics in computing, developing both theoretical understanding and applied skills. Students learn to design and implement complex systems using modern technologies, then work within research groups on their own projects—gaining firsthand academic experience. The program’s flexibility allows them to select modules that match their interests, whether data science, algorithms, or machine and deep learning. Supporting this specialized work are a contemporary cloud lab, high-performance computing (HPC) resources, and a robotics facility for master’s-level projects.
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