This MSc gives students a strong combination of theory and practical work in robotics, covering areas such as autonomous systems, intelligent decision‐making, sensors and actuators, computer vision, simulation and prototypes. It’s ideally suited to applicants who hold a STEM-bachelor’s (engineering, computing, physics or mathematics) and who want to move into advanced robotics—whether in industry, research or systems development—rather than focusing purely on software or business.
Curriculum Structure
Year 1 (Full‐time, 1 year duration)
In the beginning, students engage in core modules including “Advanced Robot Design and Prototyping” where they design and build robot mechanisms, and “Intelligent Sensors and Actuators in Engineering Systems” which explores sensors, actuators, control, micro‐systems and hands‐on lab work.
They then deepen their knowledge through modules such as “Computer Vision and Deep Learning” and “Data Processing, Simulation and Optimisation of Engineering Systems”, gaining skills in modelling dynamic systems, simulation environments like MATLAB/Simulink, deep learning, feature detection and large datasets.
Finally the programme culminates in the large research project “MSc Dissertation and Research Skills” (60 credits) where students plan and execute an individual investigation into a topic aligned with robotics, integrating design, evaluation and presentation of their findings.
Focus areas
Robotics system design · Autonomous & intelligent systems · Sensors & actuators · Simulation & optimisation of engineering systems · Computer vision & deep learning · Research and development in robotics
Learning outcomes
Graduates will be able to design and prototype advanced robotic mechanisms, integrate sensors/actuators and control systems, apply simulation and optimisation techniques in engineering systems, implement computer-vision and AI methods in robotics contexts, and manage independent research or development projects in robotics engineering.
Professional alignment (accreditation)
The programme is accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for further learning towards Chartered Engineer status, for those holding a CEng-accredited undergraduate degree.
Reputation (employability rankings)
At University of Plymouth, the School of Engineering, Computing and Mathematics provides access to specialist robotics facilities (robot dogs, drones, rapid prototyping labs) and strong research groups such as the Centre for Robotics and Neural Systems (CRNS) and the Autonomous Marine Systems Research Group.
Although a specific independent ranking for the MSc is not listed, the University’s engineering programmes appear in broader subject rankings (QS places it in the #501-575 bracket for Mechanical/Engineering).
Students of the MSc Robotics at University of Plymouth gain robust, hands-on experience blending mechanical design, electronics, intelligent control and real robotics applications. From day one they use advanced labs to prototype robots, program systems, and engage with real industry-style problems—not just lectures. For example, the programme gives access to in-house humanoid robots, drones and custom platforms for project work.
Here’s how experiential learning unfolds in this programme:
Graduates of the MSc Robotics at University of Plymouth are equipped to design, develop and deploy advanced robotic and autonomous systems—opening pathways into roles such as Robotics Engineer, Embedded Systems Architect, Autonomous Systems Developer and Control & Intelligent Systems Specialist.
Progression & Future Opportunities:
Further Academic Progression:
Graduates may move on to a research degree such as an MPhil or PhD in Robotics, Autonomous Systems or Intelligent Control. They may also pursue professional engineer chartership (CEng) via the IET pathway, or specialised certificates in fields such as machine vision, autonomous marine systems, or embedded robotic platforms to enhance leadership potential within the field.



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