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Our research-focused programme provides a robust grounding in computational problem-solving, programming and mathematics to equip you with the skills needed for further study.

In later years you will build upon these foundational topics, in current and advanced areas of computer science, including data science, artificial intelligence, graphics and game development, digital forensics, and software engineering.

By following the artificial intelligence pathway through the degree programme, you will have the opportunity to discover modern approaches to artificial intelligence including computational intelligence and nature-inspired algorithms. You will explore practical application of cutting-edge techniques on real-world problems and later spend time researching current research topics and writing a novel research proposal. The specialism includes study of artificial neural networks, evolutionary computation, as well as covering adaptive behaviour in natural systems from the perspective of computational neuroscience.

Throughout the programme, you’ll engage with real-world scenarios to enhance your learning. You can spend time in industry with a year-long or modular placement, develop professional and employability skills, and pursue a personal interest in computer science by proposing a project that showcases your knowledge and skills. You can also personalise your degree, by choosing from a variety of optional modules. This gives you flexibility to explore new topics or deep dive into areas you are passionate about.

In your final year you will unleash your creativity and undertake a substantial piece of research, applying theoretical knowledge and problem-solving skills to an AI-related technical, software, research or business-related problem. Your final year project is an excellent opportunity for you to draw together skills in experimental study design, critical interpretation of data, presentation and project management. You will also deepen your understanding in AI by studying a pre-defined advanced module in Computational and Artificial Intelligence, whilst choosing optional modules in subjects that are aligned to your interests.