Taught course

Advanced Robotics

Queen Mary, University of London · School of Engineering and Materials Science

Entry requirements

A good 2:2 or above at undergraduate level in Engineering, Computer Science or a related discipline.

Months of entry


Course content

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 both our School of Engineering and Materials Science (SEMS) and School of Electronic Engineering and Computer Science (EECS).

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.


This course is taught jointly between the School of Engineering and Materials Science and School of Electronic Engineering and Computer Science, drawing on the expertise of academics conducting high-quality research in a wide range of areas. This research feeds into our teaching at all levels, ensuring you share in the latest advancements.

You will be taught using a combination of lectures, seminars, laboratory practicals, as well as a variety of coursework.

You will be assigned an Academic Advisor who will guide you in both academic and pastoral matters throughout your time at Queen Mary.


Our Robotics Laboratory is equipped with robotic-arms, mobile platforms, mechatronic and control systems, humanoid robotic systems, virtual reality and haptic interfaces and human motion tracking systems.

The lab is also home to the ARQ prototyping space, featuring 3D printers, a CNC milling machine and silicone-casting station.

You'll also have access to the Electronic Engineering teaching lab, the mechanical workshop and the Makerspace.

Career paths

Graduates of this programme will be well-equipped to pursue Robotics 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.

96% of Engineering and Materials Science postgraduates are in employment or study 15 months after graduation (GOS, 2019/20)

95% of those postgraduates are in highly skilled roles (GOS, 2019/20)

Information for international students

English language requirements apply, such as IELTS 6.5

Find out more.

Fees and funding

UK students
International students

Full-time study

September 2024 | 1 year

Conditional deposit

  • Home: Not applicable
  • Overseas: £2000

Queen Mary alumni can get a £1000, 10% or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award


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

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

School of Engineering and Materials Science