MSc Control, Robotics and Optimisation at Imperial College London

Study aspects of control theory and optimisation and their application to the design of automated systems. Develop a deep understanding of control engineering and optimisation, applying these core principles to the design of sophisticated automated and autonomous systems. You will gain hands-on expertise with industry-standard computational tools, learning to model, simulate, and deploy high-performance control architectures that solve real-world physical constraints.

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

What you will study

Core modules include Laboratory in Control, Robotics and Optimisation.

Career pathways

Graduates from our Department go on to succeed in a wide range of sectors. These include sustainable energy, technology, research and development, water, education, data science, science communications, consulting, project management, civil service and government. Typical roles include Analog Design Engineer, Technology Consultant, Software Development Engineer, Signal Processing Engineer, Robotic AI Engineer, Financial Analyst, Deep Learning Research Engineer, Automation Software Engineer.

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