Overview

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.

While machine learning is continually changing the face of industrial and societal processes, statistics enables machine learning practitioners to analyse, visualise and measure data.

This Computational Statistics and Machine Learning programme provides you with an opportunity to gain a deep skillset in both fields, to carve out a successful future in further research or as an industry practitioner.

Run in collaboration with University College London (UCL) Statistical Science, you will benefit from world class research and teaching talents from across computer science and statistics. You will study a range of modules that enable you to gain an extensive understanding of key elements of machine learning, computer science and statistics.

With some modules taught together with the Gatsby Computational Neuroscience Unit and Google DeepMind, you will have the opportunity to learn from leading experts in many related fields. You will also undertake a substantial project, either with an industry partner or an academic researcher.

Employability

You will gain a variety of practical and theoretical skills in machine learning and computational statistics, providing multiple options in either research or industry.
If you are interested in pursuing a career in research or academia, the research project forms a useful step towards undertaking a PhD, as you will build on your research skills and connections with academics in the field.

Programme Structure

Courses included:

Approximate Inference and Learning in Probabilistic Models
Statistical Natural Language Processing
Reinforcement Learning
Numerical Optimisation
Machine Vision
Machine Learning Seminar
Bayesian Deep Learning

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-09-28 00:00:00
- Apply before 2026-08-28 00:00:00 , National
Starting 2027-09-28 00:00:00
- Apply before 2027-03-27 00:00:00 , International

Language

English

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Credits

180 alternative credits

Delivered

On Campus

Campus Location

London, United Kingdom

Disciplines

Statistics Machine Learning View 133 other Masters in Statistics in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

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PTE Academic

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IELTS

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Other requirements

General 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

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

39800 GBP / year

≈ 39800 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

20500 GBP / year

≈ 20500 GBP / year

Living costs

London

United Kingdom

1137 - 2157 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Computational Statistics and Machine Learning.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Employability

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Living costs

London

Funding

Scholarships Information

Available Scholarships

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