MSc in Smart, Connected and Autonomous Vehicles (SCAV)

General

Program Description

This degree is designed for engineering or STEM subject graduates. It is particularly suitable for those with a background in electronics, electrical engineering, control systems, or communications who want to play a role in the development of connected and autonomous vehicles, and the Intelligent Transportation Systems Network.

With the advent of smart, connected and autonomous 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, we aim to address the knowledge gap in the areas of machine learning, automated control strategies, connectivity, and communication infrastructure, cybersecurity protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles.

Course structure

The course is modular; each student takes a combination of core and elective modules. 9 modules are studied and assessed in total. Modules consist of nominally 40 hours directed tuition in the form of lectures, seminars, group work, presentations, case studies and e-learning. This is covered in a full-immersion, intensive week. Modules are assessed by Post Module Assignment.

The taught modules account for 50% of the Master's degree. A major individual research project, submitted in the form of a dissertation accounts for the other 50%. The taught element of the course includes 5 x core modules and 4 x elective modules to be chosen from an extensive list.

Core modules

  • Sensor and Sensor Fusion
  • Human-Technology Interaction
  • Robust Automotive Embedded Systems
  • Networks and Communications for the Connected Car
  • Machine Intelligence and Data Science

You can choose four elective module from the list of elective modules.

Please note: Our course and module content and the schedule is continually reviewed and updated to reflect the latest research expertise at Warwick, so it is therefore very important that you check the website for the latest information before you apply and when you accept an offer.

Project

The project is worth 50% of the final grade and supports you in developing your personal research skills. Leveraging the close partnerships that WMG has with key organisations within the automotive supply chain, it is envisaged that your project will have an industrial sponsor and be closely aligned with overcoming a real-world problem in the areas of vehicle electrification and sustainability, or smart, connected and autonomous vehicles. Many of the projects will feed directly into larger research programmes and will require you to liaise directly with senior academics, researchers, and industry partners.

Last updated Jan 2020

About the School

WMG is an academic department of the University of Warwick, one of the UK’s top ten universities and a member of the elite Russell Group organisation of universities signifying the very best in resear ... Read More

WMG is an academic department of the University of Warwick, one of the UK’s top ten universities and a member of the elite Russell Group organisation of universities signifying the very best in research, teaching and learning experience with unrivalled links with industries. Read less
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