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Computational Statistics and Machine Learning MSc

Computational Statistics and Machine Learning MSc teaches advanced analytical and computational skills for success in a data rich world

To find out core information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus site.

Programme information

Students undertake modules to the value of 180 credits, which comprises two core modules (30 credits), six optional/ elective modules (90 credits), and a research project/ dissertation (60 credits).

Core modules

Students take 30 credits of compulsory modules.

    Optional modules

    Students select a minimum of 45 credits and maximum of 90 credits from the programme's optional modules, which must include either Graphical Models (COMP0080) or Probabilistic and Unsupervised Learning (COMP0086).

    Elective modules

    Students select a minimum of 0 credits and a maximum of 45 credits from the programme's elective modules.

    The availability of optional and elective modules may vary, depending on your selection.

    Research project/ dissertation

    Students undertake an independent research project worth 60 credits. The project will be related to a problem of industrial interest or a topic near the leading edge of research, and culminates in a dissertation.

    Find out more and apply