Taught course

Autonomous Systems

University of Plymouth · School of Engineering

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Entry requirements

This programme primarily aims to recruit graduate engineers with a degree to honours level at 2:2 or above in engineering, mathematics, robotics, marine, computing and physical science related subjects. Applicants will aspire to become Chartered Engineers by advancing their skills, knowledge and understanding of autonomous systems related techniques. Applicants without a 2.2 or higher may be considered if they have significant relevant experience.

Ideally, candidates will need to demonstrate that they hold an appropriate IEng accredited first degree. Candidates with non-UK qualifications will need to demonstrate that their first degree is accredited by their local professional body.

Candidates with considerable professional experience, who can evidence an academic ability equivalent to undergraduate degree levels, may also be considered.

All applicants must have GCSE (or equivalent) Maths and English at Grade C or above. If your first language is not English then evidence of English proficiency is required. The minimum IELTS score for acceptable English proficiency for entry is normally 6.5 and not less than 5.5 in all components.

Months of entry


Course content

Autonomous Systems will increasingly be adopted into every aspect of our daily lives. For transport alone, the global autonomous vehicle market size is projected to grow tenfold to over $550 billion by 2026. Large scale adoption is also being forecast for Marine Autonomous Systems, where the cost and safety advantages unmanned data collection is seeing a range of new surface and underwater vehicles being used in Oil and Gas, Offshore Renewable Energy and other emerging offshore industries. MSc in Autonomous Systems will give you the necessary design skills to embrace a future career in this rapid growth sector. The programme will look at applications including IT, aerospace, automobiles, marine, robotics, banking and education, and will cover all aspects of specialist knowledge essential for autonomous systems including; artificial intelligence in decision-making, navigation, guidance, control and sensor fusion, machine learning, security, communication & networking, and data management. These aspects being delivered by globally leading academics at the University, and leading figures from our industrial partners at the cutting edge of Autonomous System Development.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Dr Sanjay Sharma