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As intelligent vehicles emerge on the cutting edge of technological progress, the automotive sector confronts a pivotal development question. What infrastructure must we build to sustain the expected surge in smart vehicle capabilities, communication networks, and autonomous driving systems? This requires deep technical expertise and a foundational methodology to guarantee the reliability of electronic systems, communication networks, and control mechanisms.
This MSc program seeks to bridge expertise gaps in machine learning, automated control systems, network connectivity, communication frameworks, cybersecurity measures, next-generation automotive networks, and resilient embedded systems for smart and self-driving vehicles. The program enjoys strong industry backing, with an advisory board featuring prominent companies like Jaguar Land Rover (JLR) and RDM.
Pending approval from the Institution of Engineering and Technology (IET) under the Engineering Council, this course fulfills Further Learning prerequisites for Chartered Engineer status. Applicants need a CEng-accredited BEng/BSc (Hons) undergraduate degree to meet full CEng registration standards.