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Robotics and Artificial Intelligence at Queen Mary University of London - UCAS

Course options

2025 - 2026
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Course summary

This MSc programme explores revolutionary developments in the field of robotics, one of the fastest-growing industries in the world. Students will be taught to develop, analyse, programme, integrate and deploy complex robotic and intelligent systems, such as industrial manipulators, autonomous mobile robots, medical robots, robots for extreme environments, wearables and virtual reality technology. Programme highlights:

  • Work in the multi-disciplinary Centre for Advanced Robotics @ Queen Mary (ARQ) - one of the best robotics and intelligent systems research facilities in the UK.
  • Commercially exploit your research, with support from Queen Mary Innovation (QMI) and our industrial partners.
  • Accredited by the Institution of Mechanical Engineers, enabling you to pursue Chartered Engineer status.
What you'll study 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. You can expect to gain expertise in design, kinematics, dynamics, control, electronics, programming, signal and data processing, machine learning, and manufacturing technology. A major part of the degree is the individual project, which will be based around the internationally-recognised research taking place at ARQ. Your project will be designed under the supervision of our academic staff, with potential for collaboration with external partners such as Shadow Robot, Ocado, Google, Automata, Kuka, Q-Bot and many others. During your project, you’ll apply the theory from your taught modules, while taking advantage of our excellent facilities and equipment.

Modules

https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/robotics-and-artificial-intelligence-msc/

Assessment method

https://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/robotics-and-artificial-intelligence-msc/

How to apply

International applicants

Please see: www.qmul.ac.uk/international-students

Entry requirements

A 2:2 or above at undergraduate level in any kind of Engineering subject, Computer Science, or Applied Mathematics. Graduates of science subjects with several programming modules and with >50% marks in those modules will also be considered.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. You can find tuition fees for each course on the course finder pages on our website by clicking the apply link, or navigate here: https://www.qmul.ac.uk/postgraduate/ Further details about postgraduate taught tuition fees can also be found on our website: https://www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

Please see: www.qmul.ac.uk/scholarships

Robotics and Artificial Intelligence at Queen Mary University of London - UCAS