Course summary

With AI transforming many aspects of the way we live and work, from diagnosing health conditions and modelling climate change to detecting fraud and personalised learning, there has been a soaring demand for experts with these specialist skills. In response to this demand, we've created a new course that aligns with the rapidly evolving needs of industry. The MSc will equip you with an advanced understanding of computer science theory and practice through research-led teaching of both foundational and contemporary topics. You will study four core modules in the areas of programming, artificial intelligence, algorithms, and research methods and ethics. These will be complemented by four further option modules based on the department’s cutting-edge research in areas such as reinforcement learning, AI and human systems, and vision, imaging and visualisation. The option modules are built around staff specialisms to ensure all content is current and relevant to industry. The course will enhance your critical thinking and problem-solving skills through modules that encourage you to analyse complex problems, and design and evaluate effective solutions. As an integral part of the MSc, you will engage in hands-on coding, software development and projects to apply your theoretical knowledge in real-world scenarios. Recognising the significance of effective communication and collaboration in artificial intelligence, the course enables you to work collaboratively and present your own work. The MSc project provides additional opportunities to apply your knowledge to real-world challenges that align with your academic and career goals. Our strong industry connections also open up opportunities to secure co-supervision of the project with one of our partners. Course structure Core modules: Advanced Programming enhances programming skills and provides an in-depth understanding of advanced methodologies and techniques in computer programming. Areas of study include object-oriented concepts; errors, exceptions, I/O and file management, generics and lambdas; and synchronous/asynchronous messaging. Machine Learning and Deep Learning teaches a critical understanding of the key principles of the field, and practical background knowledge of classic machine learning techniques and modern deep learning approaches. Algorithms and Complexity provides knowledge and critical understanding of the paradigms and fundamental ideas behind algorithms and computational complexity. You will also learn to design novel algorithms to solve specific complex problems. Research Methods and Ethics in Computer Science equips you with the essential research skills and ethical considerations relevant to the field of computer science. You will also learn to apply research methodologies and ethical principles to your individual projects. The Computer Science Project, on a research-led topic agreed with a supervisor, draws on the methods and techniques covered in the taught modules. Depending on the project topic selected and availability, there is potential for industry co-supervision.