Computer Science and Artificial Intelligence Meng (Hon)

<strong>Why choose this course?</strong><br/>You’ll develop advanced competencies in computer science with a focus on large-scale system deployment, as well as in-depth knowledge of emerging technologies in Generative AI, Large Language Models (LLMs), and agentic AI. <br/><br/>Your studies will be enriched by Surrey’s 40 years of internationally acclaimed AI research, guided by world-leading academics who have shaped the future of the field. You’ll also learn from experts in cyber security to make large-scale systems secure and resilient. <br/><br/>Demand for graduates in this field is booming worldwide, offering diverse career opportunities. Surrey has an excellent record for graduate employability: 94 per cent of our computer science undergraduate students go on to employment or further study (Graduate Outcomes 2024, HESA). <br/><br/>Our award-winning Professional Training placements scheme also gives students industry experience and prepares them for roles in various sectors. <br/><br/><strong>What you will study</strong><br/>You will study the core principles of computer science in your first year, which is shared with other computer science programmes. In your second year, you’ll then begin to build your specialist AI knowledge, setting you up for an optional placement year. You will then accelerate your learning in AI through the study of the latest developments in AI in your third year of study. <br/><br/>• Learn core computer science principles, concepts necessary for industrial deployment including programming, algorithms, computer security, parallel computing.<br/><br/>• Study advanced AI principles including GenAI, LLMs, computer vision, robotics, medical imaging, intelligent agents, and ethical AI systems. <br/><br/>• Take on hands-on projects using GPU-powered Linux systems, enabling training and deployment of real-world AI models.<br/><br/>• Participate in AI-based group projects with world leading researchers from CVSSP, NICE, and the Surrey Institute for People-Centred AI.<br/><br/>• Use languages and tools such as Java, C++, SQL, Python, and AI libraries.<br/>