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Computational Statistics and Machine Learning MRes

Computational Statistics and Machine Learning MRes

Key information
DATA SOURCE : IDP Connect

Qualification type

MRes - Master of Research

Subject areas

Artificial Intelligence (Ai) Statistics

Course type

Research

Course Summary

There is a high demand from industry worldwide, including from substantial sectors in the UK, for graduates with skills at the interface of traditional statistics and machine learning. MRes graduates benefit from the department's excellent links in finding employment; this programme is also ideal preparation for a research career. The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the areas of computational statistics and machine learning (CSML). Students will have the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research. They also undertake a nine-month research project which enables the department to more fully assess their research potential. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, and Chicago, as well as at UCL. Similarly, CSML graduates now work in companies in Germany, Iceland, France and the US in large-scale data analysis. The finance sector is also particularly interested in CSML graduates.

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Modules

Investigating Research - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£13,340

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£28,410

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need to have a minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject, or an overseas qualification of an equivalent standard. We require candidates to have studied a significant mathematics and/or statistics component as part of their first degree, and students should also have some experience with a programming language, such as MATLAB.

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