MRes Computational Statistics & Machine Learning
Why choose this course?
Students are expected to have a strong background in a numerate subject, ideally mathematics, statistics or computer science. The MRes is particularly suitable for students that have some prior familiarity with data analysis and wish to engage in a substantial research project, prior to continuing a research career. Taking the MRes will give students a deeper understanding of a research level topic and also enable the department to more fully assess the future research potential of potential PhD applicants.
What will I learn?
These include Graphical Models, Supervised Learning, Information Retrieval, Approximate Inference, Probabilistic and Unsupervised Learning, Machine Vision, Advanced Topics in Machine Learning, Inverse Problems in Imaging, Applied Bayesian Methods, Statistical Modelling and Data Analysis, Statistical Computing, Statistical Inference and Advanced Topics in Statistics.
The MRes is taught jointly by the Department of Computer Science and the Department of Statistical Science.