The MSc in Computing (Machine Learning) is a taught postgraduate course aimed at students with a good academic degree who may not have studied computing exclusively but who have studied a considerable amount of computing already.
Applicants who want to become a specialist in a particular area of computing and who want to take a first crucial training step towards that goal are the natural target for this course. The expectation of graduates is that this course enables them to have rewarding careers as specialist in an area of Computing.
Each specialism has a flexible mix of breadth and depth, consisting of two or three compulsory modules as well as choices from a selection of core and optional modules.
Mathematics for Inference and Machine Learning;
Short Introduction to Prolog;
Dynamical Systems and Deep Learning;
Learning in Autonomous Systems;
Computing Science (Specialist) Individual Project;
Data Analysis and Probabilistic Inference;
Advanced Statistical Machine Learning and Pattern Recognition;
We normally expect applicants for this course to possess the equivalent of a first-class UK degree, and to have taken computing courses that equate to two years of a computer science undergraduate programme.