Robotics and Artificial Intelligence

Entry requirements

A high 2:2 (55% or above) at undergraduate level in 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.

Months of entry

September

Course content

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.

Career paths

Graduates of this programme will be well-equipped to pursue Robotics, AI and Software Engineer positions in a wide range of industries, as well as doctoral research.

Our Industrial Liaison Forum gives you the chance to network with our industrial partners and build your professional contacts while at university.

Information for international students

You may require ATAS clearance for this programme. Find out more: https://www.qmul.ac.uk/welfare/visas-international-advice/visas-for-study/atas/

Fees and funding

There are a number of ways you can fund your postgraduate degree.

• Scholarships and bursaries
• Postgraduate loans (UK students)
• Country-specific scholarships for international students