Compulsory modules

This module aims to develop the study, employability and research skills to meet the complex learning and professional requirements of postgraduate study. The module which is delivered through a blended approach brings together three discrete elements of study, employability and research skills. Learning content will be delivered through a combination of synchronous and asynchronous teaching provision.

Key aims include:

  • To deliver a series of high quality, interactive study skills and blended learning activities to provide students with a broad foundation to support their development within their chosen field.
  • To provide a series of skills to support students within their employability profiles.
  • To provide students with the opportunity to develop research skills for engineering and business, including data gathering and analysis skills and ethical awareness.
  • To provide students with the opportunity to develop effective communication skills for engineering and business, including skills synthesise complex scientific data to engineering and non-engineering audiences.

The aims of this module are:

  • To give students an opportunity to conduct a research and/or development project on a topic of relevance to their specific programme of study.
  • To provide students with the key skills and experience needed to plan, manage and deliver a complex extended project.
  • To prepare students for future employment and professional practice in a relevant engineering sector at an advanced technical or managerial level.

Optional modules

The aims of this module are to enable students to contribute to the development and deployment of wind power, both onshore and offshore.

The aims of this module are to:

  • To present studies on a deep understanding of the specific digital communication technologies critical to IoT systems.
  • To explore the application, strengths, and limitations of various digital communication technologies in IoT.
  • To develop practical skills in designing IoT communication systems using current technologies and protocols.

The aims of this module are to:

  • Provide a comprehensive introduction to antennas and their functioning.
  • Provide practical experience in design and measurement of antennas.

The aim of this module is to equip students with a foundational understanding of pulsed power systems alongside design concepts, diagnostic methods, applications and safety practices.

The aims of this module are

  • To provide critical overview of statistical methods and machine learning required for analysing data.
  • To develop a systematic and practical understanding of regression and classification analysis.

The core aim of this module is to ensure students are able to take advantage of Machine Learning (ML) techniques to solve practical engineering problems. The module aims to:

  • Provide a base understanding of Machine Learning (ML) in the wider context of Artificial Intelligence (AI).
  • Establish ML approaches and algorithms.
  • Provide development tools to deploy ML applications.
  • Explore ML techniques in practical engineering contexts.
  • Establish the challenges with ML in engineering.