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Robotics and Artificial Intelligence MSc
Queen Mary University of London

Student rating
(4.3)

Find out more about studying Robotics and Artificial Intelligence MSc at Queen Mary University of London? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.

Different course options

DATA SOURCE:
UNISTATS, UCAS
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Qualification

MSc - Master of Science

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Location

Main Site

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Study mode

Full Time

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Start date

Sep 2027

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Duration

1 Year

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Course info

This MSc programme explores revolutionary developments in the field of robotics, one of the fastest growing industries in the world. Its central component, the extended research project, offers you the opportunity to publish your research and build a career profile through theoretical and practical work at the Centre for Advanced Robotics. This MSc is closely aligned with The Centre for Advanced Robotics at Queen Mary (ARQ), which specialises in human-machine interaction, design and mechatronics, drones, AI and cognition and more. Students will be taught to develop, analyse, programme, integrate and deploy complex engineering systems, such as industrial manipulators, autonomous mobile robots/vehicles, medical robots, robots for extreme environments, wearables and virtual reality technology. A major part of the degree is the individual research project, which will be based around the internationally-recognised research taking place at our School of Engineering and Materials Science. Your project will be designed under the supervision of our academic staff and there is potential for collaboration with external organisations such as Shadow Robot, Ocado, Google, Automata, Kuka, Q-Bot and many others. The project will develop your ability to create integrated robotics and intelligent systems that can operate in a range of dynamic environments. During your project, you’ll apply the theory from your taught modules, while taking advantage of our state-of-the-art facilities. You can expect to gain expertise in design, kinematics, dynamics, control, electronics, programming, signal and data processing, machine learning, and manufacturing technology.

Key stats
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Complete University Guide ranking
40th
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Complete University Guide Computer Science ranking
20th
Tuition fees
Student living
£13,250 per year
Students from Domestic

DATA SOURCE:
UCAS / IDP Connect

Uni info

Queen Mary University of London is a place where every difference is celebrated – where unique perspectives are not just...

Student rating
(4.3)
View reviews
CUG ranking 40th
Queen Mary University of London
Mile End RoadLondonBethnal GreenE1 4NSUnited Kingdom