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SCAV

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.
The strategic success of any industrial player in this area would depend on a ready availability of a skilled work-force within high level technical competencies, specifically catered for the automotive environment.

Through this Master's course, 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.
WMG at the University of Warwick has 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.

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Learning Outcomes

  • Critically evaluate different approaches to connectivity and vehicular autonomy within the context of Intelligent Transportation systems alongside political, technological, environmental and social challenges relevant to the automotive supply chain and to synthesise alternative designs.
  • Critically evaluate different design and development options and testing methods within the context of a full life-cycle assessment of connected and autonomous vehicle concepts and subsystem designs.
  • Demonstrate the ability to independently design, analyse and verify the operation of electronic control and software systems that underpin the performance, safety and sustainability of connected and autonomous vehicular systems.