Course summary
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. The Department of Chemical Engineering offers three advanced programmes, with the opportunity to take a general overview or specialise in areas of chemical engineering in more depth: Advanced Chemical Engineering Advanced Chemical Engineering with Biotechnology Machine Learning and Process Systems Engineering (this stream)
Entry requirements
2:1 in Engineering, Physical Sciences, Mathematics, Life Sciences or Biomedical Sciences.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Imperial College London
South Kensington Campus
Kensington and Chelsea
SW7 2AZ