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Masters Degree Description

Drawing on the expertise of the internationally renowned Bristol Robotics Laboratory, and provided in partnership with the University of Bristol, this is a unique opportunity to advance your skills and knowledge in the fast-growing area of robotics and automation.

An expanding industry
Innovation in robotics is evolving more rapidly than ever before. This progress is providing a wide range of industries and professions with access to increasingly sophisticated technology.

As well as enjoying a growing commercial side, robotics also supports global scientific research in unprecedented ways, giving us access to more remote, unpredictable and hazardous locations.

Entry Requirements

An upper second-class honours degree in an Engineering, Physics, Mathematics or related subject. Other disciplines will be considered on a case-by-case basis.

If you don't meet the above grade requirements but have at least 12 months relevant professional experience and/or equivalent qualifications, we'll consider you on an individual basis.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

MSc Robotics provides an excellent route into this increasingly important area of innovation, and into research and development. Develop core skills that you'll take with you through your career, such as innovation, teamwork and creativity.

The course also offers the specialisms to support doctorate-level studies and ongoing research careers. You could also go into research by studying a PhD at Bristol Robotics Laboratory.

Module Details

You'll study:

Robotics Systems (20 credits)
Robotic Fundamentals (15 credits)
Machine Vision (15 credits)
Robotics Research Technology and Methods (20 credits)
Dissertation (60 credits)

Plus one optional module from:
Advanced Topics for Robotics (20 credits)
Artificial Intelligence for Robotics (20 credits).

Plus, two optional modules from:
Human-Robot Interaction (15 credits)
Advanced Control and Dynamics (15 credits)
Assistive Robotics (15 credits)
Robot Learning for Control (15 credits).

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