Modules

Our core modules will provide an introduction to the main concepts and methods of machine learning. You will then go on to cover more advanced topics of machine learning and neural networks. You will carry out a substantial investigation in the form of a research project on the application of the machine learning techniques learned as part of the course to a scientific problem. The study will be largely self-directed, with oversight and input provided by a supervisor from the School of Physics and Astronomy, School of Computer Science or School of Mathematical Sciences. The topic will be chosen from a list of potential projects provided by the schools in the Faculty of Science. The topic could be based on a theoretical and/or computational investigation, a review of research literature, and/or a combination of the two. We offer a range of optional modules in fascinating topics, such as computer vision, quantum information science, and big data and cloud computing.