Be at the forefront of automotive innovation and technical advancements in intelligent vehicles
SCAV 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.
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.
What will the course provide?
Through this MSc 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.
|Sensor and Sensor Fusion||Networks and Communications for the Connected Car|
|Human-Technology Interaction||Machine Intelligence and Data Science
|Robust Automotive Embedded Systems|
You will need to choose four elective modules from the module list*, which should be chosen to supplement your core modules above (subject to availability). *Important, please note: the list relates to modules available in 2017/18 academic year, and should be regarded as an illustrative guide to modules available in future years.
You are required to pass nine modules in total as part of this Master's course.
Leveraging the close partnerships that WMG has with key organisations within the automotive sector, it is envisaged that your project will have an industrial sponsor, enabling you to work in close collaboration with an industry partner. This valuable experience will further your transferrable skills development, and expand your networking opportunities and understanding in a professional research and development environment.
The project is worth 50% of the final grade, and supports you in developing research and analytical skills.
Work on your project runs concurrently with your module study.
The taught component of the course consists of lectures, workshops, practicals, demonstrations, syndicate exercises, extended surgery time and reviews. Module leaders are experts in their fields and are supported by external speakers working in organisations at the forefront of their fields.
Assessment is through post module assignment (PMA) rather than exam and is based on the learning objectives of each module. Your PMA should take around 60 hours of work and consolidate the knowledge you have gained from the module.
Each module usually lasts one week. There is more information here about the course structure.
After you graduate
Graduates of this MSc will understand a myriad of factors contributing towards the performance and dependability of connected and autonomous vehicles and will be well placed to continue professional work within R&D.
If you have questions about this course, you can contact the Admissions Office: firstname.lastname@example.org, +44 (0)24 7652 3691
1st October 2018
One year, full time
Online £55 application fee
Bachelor 2:2 (Hons) or equivalent
IELTS 6.5 (or IELTS 6.0 + pre-sessional)
Overseas applicants must obtain ATAS clearance in order to study this course.
31st July 2018