WMG at Warwick has established a legacy of leading automotive research in collaboration with industry. Smart, Connected and Autonomous Vehicles MSc aims to address the knowledge gap in machine learning, automated control strategies, connectivity, cyber-security protocols and much more. With 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 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, cyber-security protocols, emerging automotive networks and robust automotive embedded systems within the context of smart, connected and autonomous vehicles. This programme has extensive industrial support with the Industry Advisory Board consisting of Jaguar Land Rover (JLR) and RDM among others. This course is pending accreditation by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
Please check our WMG, University of Warwick website for the most up to date information about modules for this programme. The list below is an indicative list, based on the current academic year, and it should be regarded as an illustrative guide to modules available in future years: Fundamentals of Automotive Research, Development, and Management; Automotive Sensors and Sensor Fusion; Robust Automotive Embedded Systems; Networks and Communications for the Connected Car; Machine Intelligence and Data Science; Human-Technology Interaction; You will also be required to take one additional module, subject to restrictions. For further course information, please visit our website.
The curriculum is divided in seven assessed taught modules and a major research project, written up as a dissertation.
Minimum requirements 2:i undergraduate degree (or equivalent) in STEM subjects, particularly Electronics, Electrical Engineering, Control Systems, Computer Science, Communications, Physics, or Mathematics. Candidates with a UK 2:ii (or equivalent) may be accepted upon demonstration of relevant professional experience. English language requirements You can find out more about our English language requirements. This course requires the following: Band A IELTS overall score of 6.5, minimum component scores not below 6.0 International qualifications We welcome applications from students with other internationally recognised qualifications. For more information, please visit the international entry requirements page. Additional requirements Candidates with professional experience should include their CV with their application.
Fees and funding
No fee information has been provided for this course