BSc Computer Science (Artificial Intelligence)
About this course
Artificial intelligence is transforming how computers perceive, reason, communicate and act, and the demand for people who understand it at a technical level has grown across virtually every industry. Computer science with a focus on artificial intelligence is not simply about using AI tools: it is about understanding the mathematical and computational foundations that make them possible, and developing the ability to design, evaluate and improve them. That combination of depth and rigour is what distinguishes a degree in the subject from more applied alternatives. At the University of Kent you will study the core principles of computer science, including algorithms, data structures, software engineering, and programming, while also specialising in the methods and concepts that define AI. You will explore machine learning, knowledge representation, natural language processing, computer vision, search and optimisation, and the theoretical questions about what intelligence means computationally. The three-year full-time programme develops your ability to move between formal analysis and practical implementation, working on problems that range from fundamental to applied. Across medicine, gaming, agriculture and government, AI is being applied to complex problems and delivering new kinds of insight, and your studies will give you the tools to contribute to that work. Graduates of computer science degrees with an AI specialisation are in strong demand. Careers include machine learning engineering, data science, natural language processing research, robotics, software development, AI ethics and policy, and technical roles in technology companies, research institutions, the NHS, defence, financial services, and a growing range of other sectors. Academic research is an important path for those drawn to the frontier of the field, and postgraduate study in AI, machine learning, data science or cognitive science is a common next step. The discipline equips you to engage with one of the defining technical challenges of the coming decades.
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