UCL (University College London)
Computational Statistics and Machine Learning
A minimum of an upper 2nd Class UK Honours 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 1st degree, and students should also have some experience with a programming language, such as MATLAB.
Core modules: investigating research; researcher professional development. options: students choose three from the following: advanced topics in machine learning; advanced topics in statistics; applied Bayesian methods; approximate inference and learning in probabilistic models; graphical models; information retrieval and data mining; inverse problems in imaging; machine vision; probabilistic and unsupervised learning; statistical computing; statistical inference; statistical modelling and data analysis; supervised learning.
The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with assistance from demonstrators. Students liaise with their academic or industrial supervisor to choose a study area of mutual interest for the research project. Performance is assessed by unseen written examinations, coursework and the research dissertation.
|Qualification||Study mode||Start month||Fee||Course duration|
|MRes||Full-time||September 2016||GBP 11,090 per Year 1 (England)||1 years|
|MRes||Full-time||September 2016||GBP 23,440 per Year 1 (International)||1 years|
|MRes||Full-time||September 2016||GBP 11,090 per Year 1 (Northern Ireland)||1 years|
|MRes||Full-time||September 2016||GBP 11,090 per Year 1 (Scotland)||1 years|
|MRes||Full-time||September 2016||GBP 11,090 per Year 1 (Wales)||1 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Bloomsbury Campus||Camden||WC1E 6BT||South East|
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