Coventry University program

Automotive Cyber Security

Examine the types of vehicles that need cyber security, discussing critical components and potential vulnerabilities.

This program is part of the MSc Cyber Security degree offered by Coventry University

Explore the challenges surrounding automotive cyber security, risks and safety impacts

This program aims to develop your critical knowledge of automotive cyber security and the threats facing connected and autonomous vehicles.

It also addresses the wider challenge of increasing numbers of digital components on connected platforms, focusing specifically on threat intelligence and engineering aspects of automotive systems. Issues of policy and personal data are also explored.

You’ll investigate the fundamental concepts of cyber security, using presentations, group discussions and case studies to demonstrate real-life scenarios and illustrate how best to tackle complex problems.


5 courses

Delivered by expert academics

Coventry secured 5 QS Stars for Teaching and Online Learning in the QS World University Ranking 2020 and has received No. 1 in the world for Massive Open Online Courses in MoocLab’s World University Ranking 2021.

  • Coventry University

Supported by Institute of Coding

This program has been developed with the support of the Institute of Coding, a network of employers, universities, training providers and professional bodies working together to create the skills needed for the digital economy.

Learning outcomes

Upon successful completion, you should be able to:

  • Demonstrate critical awareness of key theoretical concepts underpinning cyber security threats in the automotive context

  • Evaluate and situate these threats with respect to wider system risks, security and safety impact, and propose cost-effective countermeasures

  • Demonstrate a thorough understanding of economic, legal and regulatory issues surrounding security testing, compliance and certification

  • Demonstrate a systematic appreciation of privacy and policy issues surrounding the use of personal and sensitive data generated on modern automotive platforms in the context of sensing, communication, and storage

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