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Full time | Plymouth University | 1 year | JAN-25

Study mode

Full time

Duration

1 year

Start date

JAN-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Cybernetics

Course type

Taught

Course Summary

About the course

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.

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).
- Become a professional in your field – this programme is accredited by the Institution of Engineering and Technology (IET).
- 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.

Modules

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.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,700

International fees
Course fees for EU and international students

For this course (per year)

£19,800

Entry requirements

A minimum of a lower second class honours degree (2.2) in a technical subject such as robotics, computing, engineering (mechanical / electrical/ electronic), physics or mathematics. Students with advanced standing who can evidence an academic ability to a similar level may also be considered. Applicants will also be asked to provide evidence of: a sound understanding of A level mathematics (linear algebra, calculus, differential equations), basic knowledge of computer hardware and operating systems, basic competency in a programming language such as Python, C, C++, Java or similar. Basic skills in electrical engineering would be a plus. Applicants with overseas qualifications can check their comparability with the UK equivalent through NARIC, which provides an advisory service.

University information

The University of Plymouth’s campus is centrally located within Britain’s Ocean City, perched on the south western coast of Devon in between scenic Cornwall and the historic Dartmoor National Park. Plymouth is a research-intensive institution and has won awards for its eco-initiatives while becoming established as a leading university for sustainability. The university campus boasts nine award winning cafés, the Jill Craigie cinema, the...more