Smart, Connected and Autonomous Vehicles (MSc)

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.
 

Core modules

• 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

Optional modules

One elective module should be selected from the following list to allow you to gain further specialist understanding:

• Fundamentals of Electrification
• Programming and Fundamental Algorithms for Scientists and Engineers
• Modelling and Simulation of Systems
• Systems Engineering and Functional Safety
   

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
 

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0
   

The University carries out an initial fee status assessment based on information provided in the application and according to the guidance published by UKCISA. Students are classified as either Home or Overseas Fee status and this can determine the tuition fee and eligibility of certain scholarships and financial support.

If you receive an offer, your fee status will be stated with the tuition fee information, however we are awaiting guidance from the UK government regarding fee status for EU, other EEA and Swiss nationals and their family members living in the UK for academic year 2021/22 onwards. We are not able to confirm the fee status for these students until the relevant eligibility criteria have been confirmed. Once we have received further information from the UK government, we will provide you with an update on your fee status and let you know if any additional information is required. If you believe your fee status has been incorrectly classified you can complete a fee status assessment questionnaire (follow the instructions in your offer) and provide the required documentation for this to be reassessed.

 

Graduates from the MSc in Smart, Connected and Autonomous Vehicles 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.