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Advanced Robotics at Queen Mary University of London - UCAS

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2024 - 20252025 - 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. 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.

  • 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.
  • Opportunities to publish your research project findings in international journals.
  • Meet and work with leading researchers and industry professionals in the field of robotics and artificial intelligence.
What you'll study: This MSc is closely aligned with The Centre for Advanced Robotics at Queen Mary (ARQ), which specialises in subjects such as human-machine interaction, perception, design and mechatronics, drones, and AI and cognition. Students will be taught to develop, analyse, programme, integrate and deploy complex engineering systems such as industrial manipulators, autonomous mobile robots/vehicles, biomedical systems for surgery and assistance, 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 in our School of Engineering and Materials Science (SEMS). Your project will be designed in collaboration with our academic staff and external organisations, such as Shadow Robot, Ocado, Google, Automata, Kuka, Q-Bot and many others. The project will develop your research capability, as well as 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.

Modules

Please refer to our website

Assessment method

Please refer to our website

How to apply

International applicants

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

Entry requirements

This programme requires ATAS clearance. Students who are not EEA or Swiss nationals may require ATAS clearance to undertake this course. The CAH3 code for this course is CAH10-01-02. Further information on ATAS can be found on our Advice and Counselling webpages. A Good 2:2 UK degree or overseas equivalent is required, usually in subjects with substantial Maths or Physics content. Relevant subjects can be Robotics, Mechatronics, Engineering (including Mechanical, Electrical, Electronics, Bioengineering or similar), or Computer Science. Non relevant degree subjects may be considered if there is evidence of sufficient study in Maths/Physics or related modules. IELTS 6.5 is required.

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: 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

Advanced Robotics at Queen Mary University of London - UCAS