This intensive one‑year full‑time programme equips students with multidisciplinary expertise in mechatronics, robotics and autonomous systems — combining electronics, mechanics, control, embedded systems and software—all within real‑world applications such as manufacturing, autonomous vehicles and surgical robots. It suits engineering, mechatronics, automation or computer science graduates who want to join the rapidly growing robotics/automation industry with hands‑on capabilities.
Curriculum structure
Taught semesters (first approx. 9 months):
Students begin with core modules such as Modern Industry Practice, Programming, Control Systems Design, Aerial Robotics, and Biomechatronics & Medical Robotics, which build a strong foundation in both engineering practice and software/hardware integration. Then they choose optional modules (for example FPGA Design for System‑on‑Chip, Embedded Microprocessor System Design, Medical Electronics & e‑Health) allowing them to specialise in their preferred sub‑area of mechatronics or robotics.
Individual/Team Project (final phase):
The course culminates in a significant professional project (60 credits) where the student undertakes either a team design project and an individual professional project focused on a real‑world robotic or mechatronic challenge (for example swarm robotics, assistive devices, industrial inspection robots). This gives the chance to apply all the knowledge and build a strong portfolio.
Focus areas
Mechatronic system design · Robotics & autonomous systems · Control & embedded systems · Sensor-actuator integration · Aerial robotics and bio‑mechatronics · Real‑world industry‑aligned engineering practice
Learning outcomes
Graduates will be able to design, model and implement mechatronic and robotic systems that integrate mechanical, electronic and software components; evaluate control, sensing and automation strategies in complex systems; and communicate and manage engineering design and research projects within multidisciplinary teams and professional contexts.
Professional alignment (accreditation)
The programme is accredited by both the Institution of Engineering and Technology (IET) and the Institution of Mechanical Engineers (IMechE) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer (CEng).
Reputation (employability rankings)
The University of Leeds is recognised by top employers and in the Graduate Market–for example, it is among the “top 5 most targeted universities in the UK by graduate recruiters” according to one recent report.
Students on the MSc Eng Mechatronics and Robotics at University of Leeds engage in deep practical learning from the outset. They work with industry‑standard software and hardware, undertaking both team and individual projects that mirror real‑world engineering challenges. The Schools of Electronic & Electrical Engineering, Mechanical Engineering and Computing support the programme, providing access to specialist labs including robotics testbeds, drone flying zones and embedded systems workshops.
Here is how the experiential learning is structured:
Graduates of this programme are positioned to succeed in roles such as Robotics Systems Engineer, Mechatronics Design Engineer, Autonomous Vehicles Engineer and Control & Embedded Systems Engineer. With its focus on multidisciplinary skills across mechanical, electrical, and computing domains, they’re well‑equipped to help drive innovation in smart manufacturing, healthcare robotics, autonomous machines and automation. The accreditation of the programme means it also supports long‑term professional engineering goals.
Here’s what the University offers and how this degree supports your career:
Further Academic Progression:
After completing this MScEng, students could move into a research‑based degree (e.g., MRes or PhD) in areas such as autonomously‑controlled robots, rehabilitation robotics, bio‑mechatronics or embedded systems. They could also progress to full Chartered Engineer registration (CEng) by combining this degree with relevant professional experience, and in the longer term move into roles in R&D management, technical consultancy or creating start‑ups in advanced robotics and automation.



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