MSc Machine Learning and Process Systems Engineering at Imperial College London

Develop coding and mathematical skills relevant to the process industries. 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.

Faculty: Faculty of Engineering  |  Department: Department of Chemical Engineering  |  Duration: 1 year  |  Study mode: full-time  |  Intake: October 2027  |  Location: London, England, United Kingdom

What you will study

Core modules include Advanced Process Operations, Advanced Optimisation for Chemical Engineering, Dynamic Behaviour in Process Systems, Industrial Automation and Autonomous Systems, Introduction to Programming and Python in Chemical Engineering, Machine Learning for Chemical Engineering, Mathematics for Machine Learning and Process Systems Engineering.

Career pathways

Graduates from our Department go on to succeed in a wide range of sectors. These include defence, energy, engineering consultancy, fast moving consumer goods, financial services, management consultancy, pharmaceuticals, professional services, research and development. Typical roles include Advanced Process Control Engineer, Associate Consultant, Business Analyst, Data Scientist, Graduate Engineer, Laboratory Technician, Operations & Strategy Consultant, Process Designer.

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