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Marine Engineering with Specialisation in Autonomous Marine Vehicles MSc

Marine Engineering with Specialisation in Autonomous Marine Vehicles MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Marine Engineering

Course type


Course Summary

Why this course?

Industry 4.0 (Fourth Industrial Revolution) is the confluence of cyber-physical systems that are reshaping most sectors including the maritime sector. Autonomous technology is poised to transform the sector. Crewless vessels are now under development. It's already possible to explore the most extreme oceanic environments using autonomous and robotic systems. It's time for the maritime industry to understand how autonomous systems will shape the sector and how best to exploit them.

This new programme aims to address an identified market need for a postgraduate qualification that is relevant to the maritime industry and which develops skills and knowledge in autonomy and IT technologies used in the sector.

This course is designed for graduates in naval architecture, mechanical engineering, marine engineering and related disciplines who want to gain advanced knowledge of autonomous marine technology.

What you’ll study

The course will be delivered by the Department of Naval Architecture, Ocean and Marine Engineering (NAOME). Students will study a blend of compulsory and optional modules including a group project and then complete an individual project. The taught parts of the course will comprise 120 credits including a 40-credit group project.

The taught part of this postgraduate programme includes modules dealing with the following subjects:

  • Intelligent sensing, deep learning and data analysis
  • Hydrodynamics of underwater vehicles
  • Digital twins of autonomous vehicles
  • Marine engineering simulation and modelling

Group projects

You’ll be part of a group of three to five people in ‘consultant teams’ for 10 weeks addressing a practical engineering problem. You’ll then have the opportunity to present the report to a panel of industrial experts.

This project will enhance your team working and communication skills. It also provides valuable access to industrial contacts.

Group projects will provide you with an enriched experience in the selection, conceptualisation and designing of an autonomous surface or underwater vessel. The group projects will also include a thorough market review, concept and focused design studies and techno-economic analysis in a simulated design project environment.


There are two types of method for module assessment. One is course work assessment only, the other is examination assessment. For examined modules the final assessment mark typically consists of 30 to 40% course work and 60 to 70% examination.

Different course options

Study mode

Full time


12 months

Start date



This module aims to provide background education and experience in machine intelligence and autonomous system design from the algorithm level. Students will learn the basics of the predominant data analysis, machine learning, and decision-making algorithms in use today as well as applying their knowledge to a set of simple automation tasks for both real and virtual robotic platforms in the laboratory and on their own computers.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (per year)


Average for all Postgrad courses (per year)


Entry requirements

BEng with First, or Second Class (Upper Division) Honours or equivalent overseas qualification.