MRes Computational Statistics & Machine Learning

Master of Research (MRes)
Intended for:Graduates with experience in Mathematics and/or Statistics
Duration:1 Year
Full/Part Time: Full Time Only
Fees: UK/EU £11,090
Overseas £23,440
Modules Taught:Click Here
Contact:Rebecca Martin
Research Group:Intelligent Systems Group


Why choose this course?

The MRes in Computational Statistics and Machine Learning prepares students for a research career in machine learning and related large-scale data analysis.

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?

In addition to a 9 month research project, students undertake three modules from a list of advanced machine learning and statistics topics.

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.

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