Please read our student and staff community guidance on COVID-19
Skip to main content Skip to navigation

Homepage contents

Course Content Page

Course Overview

Progressive, technology-led companies are looking for people with both the practical engineering skills and the management skills to drive productivity and profitability.

With the advent of intelligent vehicles on the horizon of technical advancements, the automotive industry is facing a developmental challenge. How do we develop a robust technical infrastructure to support the anticipated explosive growth in smart vehicular functions, communications systems and driverless cars? This demands a comprehensive understanding of the technology and a bottom-up approach ensuring robustness and dependability of Electronics, Communications (e.g. V-2-V, V-2-I) and Control Systems.

Through this MSc in Smart, Connected and Autonomous Vehicles, we aim to address the knowledge-gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.



We have an established legacy of leading automotive research in collaboration with industry. Our unique experimental facilities enable academics and industry practitioners to work together and include:

• 3xD (Drive-in Driver-in-the-loop Driving) simulator facility

• Fully-functional complete vehicle electrical/electronic system (labcar)

• Hardware-in-the-Loop (HIL) facilities

• National Automotive Innovation Centre (NAIC)

This MSc programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR), RDM and other industrial stakeholders.


Who is this course designed for?

The course is designed for people already working in the automotive sector or are looking to advance their career.

Participants come from a wide variety of roles, including but not limited to Design Engineer, Engineer.

This course will give you the opportunity to get a recognised qualification to compliment your experience and develop you as a professional.

Date
Tuesday, 01 January 2019

Modules

Course modules

There are five required modules:

Automotive Sensors and Sensor Fusion

Machine Intelligence and Data Science

Robust Automotive Embedded Systems

Human-Technology Interaction

Networks and Communications for the Connected Car

Elective modules

You will need to select a further two modules from the full list of postgraduate modules. Please note some of the core modules run over 2 weeks (15 credit modules) and some run over one week (10 credit modules). Please contact us if you need any help with modules.

Date
Friday, 01 February 2019

Entry requirements

You should be currently employed and able to prove company support because you’ll need to apply your studies directly to your work environment.

We recommend that you have at least two to three years of appropriate professional
experience and that you possess at least a second class honours degree.

If you have an HND/HNC and professional qualifications with significant experience, you may be considered to start on an intermediate qualification such as the Postgraduate Award or Postgraduate Certificate, with the opportunity for progression to the MSc.

Date
Friday, 01 March 2019

Delivery and assessment

Our specialist Master’s degree programmes are specifically for those seeking formal recognition in their specialist field and have been developed by experts within WMG’s many research groups.

The assignments and project provide an opportunity to apply the learning from the programme within your business. You will have the chance to discuss topics with the industrial and academic experts. The modules and their sequencing will be more closely defined and the module structure will be different depending on the stream you follow. Core modules for specialist programmes tend to cater for a mixture of part-time and full-time students.

Please note some of the core modules run over 2 weeks (15 credit modules) and some run over one week (10 credit modules).

Description

Are you ready to advance your automotive career? Progressive, technology-led companies are looking for people with both the practical engineering skills and the management skills to drive productivity and profitability.

key-facts

Start Date: One intake a year (September) Duration: 3 years, part-time
Level: Postgraduate  Course leader: Valentina Donzella

Skills

This course will help you:

• Learn techniques to design technical solutions for developing intelligent vehicles

• Learn subject specific knowledge to enable you to do your job better

• Make evidence approach decisions in a business context

• Develop your critical thinking

• Adopt a business-wide viewpoint

• Develop yourself as a leader and manager making you a better asset to the organisation