Key features
- 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).
- Access to our new engineering and design facility, 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. For more information, details on how to apply and confirmed closing dates for applications, please visit Gov.uk
Course details
Programme overview
- On this programme you’ll gain a solid and broad understanding of the latest developments and issues in robotics. You’ll build theoretical and practical knowledge of control and design as well as covering the interface between real-world devices, autonomous processing and evaluation of acquired information. You’ll investigate user interaction and intelligent decision-making and immerse yourself in an innovative project inspired by the latest developments in technology and society. You’ll have access to a robotics club and to a seminar series so that you can keep up-to-date with advances in the industry and academia.
Core modules
Artificial Vision and Deep Learning (AINT515Z)
This module will provide an advanced knowledge of artificial vision systems and deep learning neural networks. It will be underpinned by current theoretical understanding of vision algorithms and deep learning neural network models. This module will also introduce the use of deep learning models and vision systems.
MSc Dissertation and Research Skills (PROJ518)
You will develop a methodical approach to research that helps propose research projects that are practically realistic and academically worthwhile. A substantial project will be planned and carried out using ethically suitable quantitative and qualitative research methods. The project will be reported through a high quality, scholarly and professional write-up, either as a formal dissertation or journal paper.
Advanced Robot Design and Prototyping (ROCO507Z)
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.
Intelligent Sensors and Control for Autonomous Systems (ROCO508Z)
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.
Topics in Applied Artificial Intelligence (COMP5013)
This module provides students with a view of how artificial intelligence is used within research and commercial settings. Delivered by a mix of academics developing novel AI techniques, and research and commercial users of AI, the module will enable students to appreciate the range of complexities inherent in the application of AI to solving real-world problems. As well as technical topics, the ethics of AI are explored.
Distributed and Interactive Communications Systems (ELEC520)
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, 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.
Soft Computing Techniques for Autonomous Systems (MECH557)
This module will develop knowledge and understanding of soft computing techniques and will explore the benefits of these in autonomous systems. The module will include seminars and guest lectures from key people from Industries and academics to share their experiences in the autonomous systems areas.
Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.
The following programme specification represents the latest programme structure and may be subject to change:
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