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Different course options

Full time | Plymouth University | 1 year | 23-SEP-24

Study mode

Full time

Duration

1 year

Start date

23-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai) Marine Navigation / Communications

Course type

Taught

Course Summary

About the course

Autonomous systems will increasingly be adopted into every aspect of our daily lives. The future of autonomy, in the transport sector alone, is projected to grow tenfold to over US$550 billion by 2026. Plymouth is fast becoming a global centre for excellence in marine and robotic autonomy systems development. You will have the opportunity to use our specialist laboratories including the COAST and Robotics Laboratory for your dissertation.

Our one year course covers core principles of this emerging field: sensor technologies for machine perception; machine learning and AI for adaptation and decision making; embedded systems, communications, security and data management, for safe and efficient operations of an Autonomous System. The course also encompasses general ethical issues related to the societal acceptance of these systems. The course has been designed in conjunction with employers who contribute seminars and guest lectures.

Key features

- Unique programme providing strong skill sets both in marine and robotic autonomy.
- Taught by world-leading experts from the Autonomous Marine Systems (AMS) Research Group, the Centre for Robotics and Neural Systems (CRNS), the Maritime Cyber Threats Research Group and the Big Data Group.
- Keep you updated with the latest development in artificial intelligence techniques and their application in autonomy - our seminars series with speakers from industry and academia gives you the opportunity to keep ahead in this fast moving field.
- Guest lectures from the key people in industries working in autonomy, for example: Thales, Metalectrique Battery Systems, Dynautics (H-Scientific), Sonardyne, MSubs, Furgo, PML, NOC, Babcock International, ORE catapult, Teledyne e2v, Seiche Ltd to provide real contacts and share their experiences.
- Provision to work on Industry-based autonomous systems projects with the potential for laboratory and test facility support.

Modules

This module will develop knowledge and understanding of data analysis, networking, communication and artificial intelligence (AI) technologies and will explore the benefits of these in autonomous systems. Practical sessions will develop appropriate software skills. The module will include guest lectures and a field visit to an autonomy related manufacturer for demonstrations in their test site and R&D laboratories.

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

We expect students to have achieved at least a 2.2 or equivalent in their undergraduate degree in engineering, mathematics, robotics, marine, computing and physical science-related subjects. 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 Westerly coast of Devon in between scenic Cornwall and the historic Dartmoor National Park. The University is renowned for its world leading research; postgraduate students are supported by accomplished and experienced staff who undertake research that is innovative, operates across disciplinary boundaries, and provides outstanding...more

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