MSc Applied Machine Learning at Imperial College London

Learn to design, implement, and evaluate machine learning systems that are uniquely optimised for the physical constraints of real-world hardware, edge computing, and silicon architecture. Explore the processes used to develop real-world systems that involve signals, sensors and hardware, such as robots or mobile phones. Through lectures, tutorials and labs, you'll delve into the theory, practical knowledge and skills that underpin machine learning.

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 Machine Learning, Deep Learning, AML Devices, Lab in AML.

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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