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HStart this programme in January or September.
Meet the lecturers
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 theCentre for Robotics and Neural Systems (CRNS) . - Access to our
new engineering and design facility . Students in engineering, science and the arts 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
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Programme overview
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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
AINT515Z
Artificial Vision and Deep Learning 20 creditsThis 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.
50% Coursework
50% Examinations
PROJ518
MSc Dissertation and Research Skills 60 creditsYou 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.
100% Coursework
ROCO507Z
Advanced Robot Design and Prototyping 20 creditsThis 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.
50% Coursework
50% Examinations
ROCO508Z
Intelligent Sensors and Control for Autonomous Systems 20 creditsThe 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.
50% Coursework
50% Tests
COMP5013
Topics in Applied Artificial Intelligence 20 creditsThis 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.
100% Coursework
ELEC520
Distributed and Interactive Communications Systems 20 creditsIn 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.
70% Coursework
30% Examinations
COMP5012
Computational Intelligence 20 creditsThis module examines the state-of-the-art in computational intelligence, focussing on evolutionary computation, swarm intelligence, fuzzy systems and Bayesian and Markov networks. Students will learn about the underlying theory behind these techniques and gain practical experience of implementing them. CI approaches will be discussed against the backdrop of various industrial problems that they are suited to solving.
100% Coursework
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:
Entry requirements
Fees, costs and funding
New student | 2024-2025 | 2025-2026 |
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Home | £10,700 | £11,350 |
International | £19,800 | £20,400 |
Part time (Home) | £590 | £630 |
Find out more about your eligibility for a postgraduate loan
Tuition fee discount for University of Plymouth graduates
- 10% or 20% discount on tuition fees for home students
- For 2024/2025 entry, a 20% discount on tuition fees for international students (International alumni who have applied to the University through an agent are not eligible to receive the discount)
Postgraduate scholarships for international students
How to apply
When to apply
Before you apply
- evidence of qualifications (degree certificates or transcripts), with translations if not in English, to show that you meet, or expect to meet the entry requirements
- evidence of English language proficiency, if English is not your first language
- a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
- your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
- proof of sponsorship, if applicable.
Disability Inclusion Services
International students
Submitting an application
What happens after I apply?
Telephone: +44 1752 585858
Email: admissions@plymouth.ac.uk
Admissions policy
Progression routes
International progression routes
Explore our research groups
Hear from our graduates
Learn more about the experiences of some of our robotics graduates
Ishita Parekh
Ishita won the 70th Anniversary British Council Scholarship for Indian women pursuing a masters degree in STEM
Baptiste Arnou
Baptiste works as an optimisation software engineer for Smart Me Up
Anurag Sure
Anurag now works as a Marketing Coordinator for Securifi Embedded Systems
Meet some of your lecturers
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Dr Tamer Kamel
Lecturer in Power Electronics and Renewable Energy
Programme Manager
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Dr Ian Howard
Associate Professor Computational Neuroscience
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Dr Toby Whitley
Associate Head of School (Engagement)
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Dr Dena Bazazian
Lecturer in Robotics and Machine Vision
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Dr Paul Davey
Associate Professor in Electronics and Embedded Systems
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Dr David Jenkins
Associate Professor of Nanomaterials and Devices