Taught course

Computational Statistics and Machine Learning MSc

UCL - University College London · Computer Science

Entry requirements

A minimum of an upper second-class UK Bachelor's degree (or international qualification of an equivalent standard) in a highly quantitative subject such as computer science, mathematics, electrical engineering, or physicals sciences. Additionally, applicants must be comfortable with undergraduate level mathematics, in particular statistics at an intermediate undergraduate level, and be proficient in linear algebra and multivariable calculus. Relevant work experience may also be considered.

The English language level for this programme is: Level 2.

Further information can be found on our English language requirements page.

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Months of entry


Course content

Deepen your expertise in machine learning and statistics through one of the most established Master\'s programmes in this field. The Computational Statistics and Machine Learning MSc brings together vital knowledge in both subjects, enabling you to thrive as an expert in a data rich world. With opportunities to study modules run in collaboration with the esteemed Gatsby Computational Neuroscience Unit and Google DeepMind, this is an exceptional place to build your expertise.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

+44 (0) 20 3370 1214