Curious about studying MSc Roboticsat University of Plymouth? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Plymouth Campus
Full Time
Sep 2027
1 Year
Gain advanced theoretical and practical knowledge from our world-leading experts in intelligent and autonomous systems. Graduate ready to pursue an exciting career in the robotics industry and academic research. Help resolve real-world problems in areas such as home automation, robotic assistance, agriculture, medicine, transportation, art and entertainment, deep-sea or space exploration. Get up-to-date with the latest developments in artificial life and intelligence, adaptive behaviour, information visualisation, neural computation and dynamic systems, as well as remote access and monitoring systems. Our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.Give yourself the edge. Our programme distinguishes itself from other robotics masters programmes, in the UK and abroad, by ensuring a deeper theoretical and practical knowledge of interactive and intelligent robotics. Expand your skills with first-class facilities including 3D rapid prototyping systems, in-house PCB design and assembly tools, and our award winning Plymouth Humanoid robots.Get expert training from members of the Autonomous Marine Systems Research Group and the Centre for Robotics and Neural Systems (CRNS).When our new engineering and design facility is launched, students in engineering, science and the arts will have access to a range of specialist equipment and innovative laboratories.Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.Benefit by combining disciplines that are traditionally taught separately. You’ll graduate ready with the expertise and joined-up knowledge to design and develop fully integrated mechanical, electronic, control and computing systems.Postgraduate scholarships for international students: you can apply for a postgraduate scholarship from the UK government to cover things like course fees and the cost of living when you study in the UK.
The objective of this module is to introduce the research activities of the Centre for Robotic and Neural System (CRNS). It will be taught by CNRS members who will lead a number of thematic workshops on their areas of expertise, such as developmental and evolutionary robotics, Brain-inspired architectures and learning methods. The module also covers scientific research methods and data analysis.
This module will provide an advanced knowledge of artificial vision systems for autonomous robots. It will be underpinned by current theoretical understanding of animal vision systems and computational models. This module will introduce the use of deep-learning neural networks in vision systems.
The student will complete a research project of their choosing (from a Project Catalogue - or self-proposed), and communicate their motivation, methodology, and conclusions through a formal dissertation and presentation of a paper summarising their dissertation.
This module focuses on both theoretical principles and practical methodologies of robotic perception, mapping and navigation aiming at providing ground vehicles with multiple degrees of autonomy. In addition, advanced technologies from statistics, vision and machine learning will be analysed. The module will then focus on the implementation of these technologies on real platforms to close the perceive-reason-act loop.
This module aims to give the students a theoretical and practical understanding of designing and building advanced robot assemblies and mechanisms, through engineering and bioinspired approaches.
The module covers a range of classical and smart sensors and actuators, which can be applied in interactive and automated system, with emphasis on several key sensors. This module introduces the basic and advanced concepts of linear and nonlinear modelling analysis and design of intelligent control systems. This module has a strong hands-on component.
In this module, students will develop applications involving interconnected hardware devices and software capabilities. Devices include both embedded and networked computers. Capabilities include sensor data acquisition, actuator control, user modelling and behaviour generation. The module will cover both theory and practical work, including management of code complexity and dealing with real-time, and reliability issues.
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