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MSc Machine Learning and Process Systems Engineering
Imperial College London

Student rating
(4.3)

Find out more about studying MSc Machine Learning and Process Systems Engineering at Imperial College London? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

Main Site

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Study mode

Full Time

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Start date

Sep 2026

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Duration

1 Year

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Course info

Develop coding and mathematical skills relevant to the process industries. Build practical skills in advanced computing methods to solve challenging chemical engineering problems.The MSc in Machine Learning and Process Systems Engineering is hosted by the Sargent Centre for Process Systems Engineering. The Sargent Centre is the world’s largest multidisciplinary research centre in Process Systems Engineering focused on the development and implementation of computational tools and digital technologies to chemical and biochemical systems.Our MSc programme will enable you to develop coding skills and an understanding of the mathematics relevant to machine learning and systems engineering.On this programme, you’ll learn to solve a range of real-life chemical engineering problems through machine learning and other advanced digital technologies – and add a distinctive element to your CV.

Tuition fees
Student living
£19,400 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

Student rating
(4.3)
View reviews
CUG ranking 5th
Imperial College London
Imperial CollegePrince Consort RoadLondonGreater LondonSW7 2AZUnited Kingdom
Nearest train station:West Brompton 0.7 miles away
Nearest tube station:Gloucester Road 0.3 miles away