UCL (University College London)
A minimum of an upper 2nd Class UK Honours degree in a highly quantitative subject such as computer science, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Additionally, candidates must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.
Core modules: supervised learning; either graphical models or probabilistic and unsupervised Learning. Options: machine vision; bioinformatics; information retrieval and data mining; advanced topics in machine learning; inverse problems in imaging; affective computing and human-robot interaction; approximate inference and learning in probabilistic models; applied machine learning; computational modelling for biomedical imaging; programming and mathematical methods for machine learning; statistical natural language programming.
The programme is delivered through a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed though a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2016||GBP 11,090 per Year 1 (England)||1 years|
|MSc||Full-time||September 2016||GBP 23,440 per Year 1 (International)||1 years|
|MSc||Full-time||September 2016||GBP 11,090 per Year 1 (Northern Ireland)||1 years|
|MSc||Full-time||September 2016||GBP 11,090 per Year 1 (Scotland)||1 years|
|MSc||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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