MSc Marine Engineering with Specialisation in Autonomous Marine Vehicles

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.

This module focuses on Data Driven Models for engineering applications, including linear and nonlinear models, model selection and error estimation. Numerical examples and real-life problems will be studied and analysed, from bearings fault prediction, to fuel consumption optimisation and sound pressure level prediction.

Digitalisation has become an essential part of the maritime industry, ultimately steered at making the sector more innovative and productive, particularly for Autonomous Marine Vehicles (AMVs). A digital twin is a dynamic digital representation of an AMV, capable of replicating significant aspects of autonomy, including dynamics, control, guidance, and navigation. The idea is to create a virtual version of the AMV to achieve a realistic, digital simulation of the system utilising the state-of-the-art physical models. This course aims to provide students with the skills and knowledge required to model, simulate and then analyse the complex non-linear behaviour of an AMV using MATLAB/Simulink.

This class aims to provide an insight into the qualitative and quantitative systems’ reliability techniques as well as maintenance methodologies with particular emphasis to the maritime industry. 

The course will give students the ability to formulate, solve, report and present a comprehensive maintenance strategy based on the application of reliability and criticality analysis and assessment tools. 

The module will also provide students with an insight of the day-to-day operations of ships as well as explore and present features related to ships dry-dockings, inspection, repair and maintenance scheduling, regulatory regime as well as practical case studies on the above.

The aim of this hands-on class is to provide students with an understanding of the general concepts, advantages and limitations of computer-based system simulation. 

This is achieved by introducing concepts and methods used to mathematically model a wide range of marine systems and also to design and perform simulation studies on these systems using industry standard simulation software tools.

This module aims to provide students with a comprehensive understanding of underwater vehicles as opposite to surface vehicles. This module will cover various kind of underwater vehicles, ranging from mega submarines to working-class remotely operated vehicles (ROV) to the state-of-the-art autonomous underwater vehicles (AUVs), from a naval architecture’s perspective of view to tackle the challenges in resistance & propulsion, manoeuvring, sensing, and underwater navigation, etc.

This module aims to provide students with an insight into ‘marine’ materials, their properties, failure and protection and an understanding of how their degradation affects the life-cycle of marine and offshore structures. It also aims to engender an understanding of the role of inspection and the assessment of inspection results. The module is designed to provide knowledge of the major threats to marine asset integrity including corrosion.

This module aims to provide students with an understanding of the financial and operational issues that companies that manage or own ships in the various sectors of merchant shipping face, both charter and liner shipping. In addition, an acquaintance with maritime sector infrastructures is provided.

This module aims to provide a comprehensive introduction to the marine regulatory framework, including background to its development, description of the current framework and future enhancements, an in-depth explanation of the theoretical background, nature and meaning of each method of assessment and a quantitative demonstration of the available routes and criteria used in assessing safety.

This module aims to demonstrate how the principles and methods of risk analysis are undertaken and reflected in safety assessment. Risk analysis offers a variety of methods, tools and techniques that can be applied in solving problems covering the whole life cycle of a vessel and, as such, this module will also elaborate on the practicalities of its application to a range of marine scenarios.