Connected Autonomous Vehicle Systems MSc

Coventry University

Program Overview

This Connected Autonomous Vehicle Systems (CAVS) MSc course is designed to equip you with the required critical skills to produce robust and safe Automated Driving Systems (ADS) for use in Connected Autonomous Vehicle (CAV) applications.

  • The course is intended for graduates with existing computer science related specialisations at degree level, or individuals with prior industrial experience who are looking to specialise or transition into the CAV sector.

  • Coventry University’s current connection and delivery with HORIBA MIRA is a unique offering, distinguishing the course from others in the market.

  • The course is designed to help develop and nurture vital organisational, planning, and policy skills. These include presenting and project planning, as well as developing a contextual understanding of CAV technology in areas such as ethics and its societal impact.


CoventryUnited Kingdom

  Course Duration

12 Months

  Tuition Fee

£ 18,250


IELTS: 6.5

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Why you should study this course

  • Enables you to explore the current and emerging technologies and applications for CAVs.

  • Provides qualified software engineering and science graduates with the opportunity to advance their software engineering proficiency and develop new skills and knowledge within the area of CAVs.

  • Aims to prepare you to make significant contributions to your profession, the economy and society.

  • The course uses industry-led learning, underpinned by research inspired teaching to provide you with a transformative learning experience.

  • Aims to provide a great educational environment that gives access to both academic and industrial experience within the field of CAVs.

  • Provides you with the opportunity to deal with complex issues and to demonstrate self-direction and develop transferable skills such as teamwork, professional communication, leadership, and management approaches, upon successful completion.


What you'll study



  • CAV Safety (HORIBA MIRA) – 15 credits

    The aim of this module is to introduce you to the concept of vehicle safety and how this particularly applies in the context of Connected and Autonomous Vehicles, including its place within the vehicle design and electronic system design processes. You will be exposed to the latest guidelines, standards and legislation.

  • CAV Verification and Validation (HORIBA MIRA) – 15 credits

    This module aims to develop your critical knowledge in the field of verification and validation with a specific view of the challenges in the context of CAVs and ADAS.

  • CAV Cybersecurity (HORIBA MIRA) – 15 credits

    This module aims to develop your critical knowledge in the field of automotive cybersecurity, which poses a major challenge to connected and autonomous vehicles. The module addresses the wider challenge of increasing digital and software components on connected platforms, focussing specifically on threat intelligence and engineering aspects of automotive systems. Issues of policy and personal data are also explored.

  • CAV Human Factors (Coventry University) – 15 credits

    The purpose of this module is to introduce you to the key principles of Human Factors when considering autonomous vehicles, and specifically the interaction between such systems and the humans using them.

  • CAV Communication (Coventry University) – 15 credits

    The purpose of this module is to introduce you to the key principles of inter and intra vehicle communications with a specific focus on autonomous vehicles.

  • CAV Vision (Coventry University) – 15 credits

    Machine Vision is concerned with the capture of an image, its presentation, enhancement and analysis to permit decision making. This module introduces the models, algorithms and hardware involved, providing practical experience with image data. Key mathematical concepts are introduced within the module to allow you to appreciate the background to the methods being studied. Emphasis is placed on the selection and use of appropriate techniques in the context of the application area of Connected Autonomous Vehicles.

  • CAV Dynamics and Kinematics (Coventry University) – 15 credits

    This module aims to provide you with a fundamental understanding of vehicle dynamics as applied to automotive vehicles, covering the areas of vehicle kinematics and dynamics from analytical and practical viewpoints.

  • CAV Perception (Coventry University) – 15 credits

    The module covers the concepts required for vehicle perception of the surrounding environment using active sensor systems, most notably those sensor systems capable of capturing high-resolution 3-dimensional data.

  • Individual Project (Coventry University supported by HORIBA MIRA) – 50 credits

    The project is intended to provide you with the opportunity to demonstrate competence in applying the knowledge and skills acquired during the taught part of the course. The project may be a solution to a practical industry requirement or focus on a research topic. The module will require investigation and research as core activities, leading to analysis, final summations and insightful recommendations. The project will culminate in a comprehensive, thorough and professional report.

  • Leading Strategic Change through Creativity and Innovation– 10 credits

    This module aims to provide you with a framework of knowledge and understanding of how to manage change using creativity and innovation in different types of organisational scenarios. You will critically assess strategies for change and change management and explore the leadership skills required to lead such successfully.

How you'll learn

This course is a one-year full-time course. Teaching is expected to take place at the MIRA Technology Institute located on the MIRA Technology Park near Nuneaton. MIRA Technology Institute is a bespoke global centre for specialist skills in key areas of emerging automotive technology.

Modules will be delivered as a combination of lectures, practical laboratory sessions, online learning, problem classes, seminars, discussions and tutorials, as appropriate for the topic.

The individual project involves research and analysis of current advances and issues in the CAVS industry, with a view to producing a substantial piece of work in the field of connected autonomous vehicles.


Applicants applying to the MSc Connected Autonomous Vehicle System course will ideally have:

  • Been awarded an honours degree in Computing, Computer Science, Software Development, Electronic Engineering, Mechanical Engineering or any other relevant discipline (minimum 2:2) or hold an equivalent qualification.

  • Programming experience ideally in C++ and/or Python, although this may have taken the form of a foundational CPD.

English language requirements

IELTS: 6.5 overall with at least 5.5 in each component area
If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course. 


£10,600 per year



£18,250 per year 

International Pathways 2022 Scholarship

You could enjoy a £3,000 reduction in tuition fees.

Our high-quality foundation, international year one and pre-masters courses are for international students who do not meet the requirements for direct entry to their preferred Coventry University undergraduate or postgraduate course. We can support you to achieve the academic and/or English grades you need and help you gain the personal and professional skills required to study at university.

We want to encourage ambitious international students like you to study at Coventry University, so we’ve secured extra financial support for you worth £3,000, to help with the cost of tuition fees, living expenses and accommodation.

The scholarship application deadline is:

September 2022 intake: 31 July 2022

Upon successful completion, you will be able to:

  • Determine and apply appropriate security methods to ensure responsible development of CAV systems.

  • Critically assess the use of communications technologies for inter/intra vehicle communications.

  • Demonstrate the application of legal and ethical requirements associated with CAVs in an industrial and/or societal context.

  • Select and apply appropriate methods to solve complex CAV vision problems.

  • Determine and implement appropriate testing and validation strategies to ensure responsible development practices.

  • Identify and apply appropriate solutions to ensure safe and responsible control of CAV systems.

  • Critically assess the use of CAVs to address and mitigate societal challenges, improving environmental and social welfare at the local and global level.

  • Select and implement appropriate methods to solve complex CAV sensor fusion problems.

  • Effectively communicate research, concepts, solutions and recommendations, and demonstrate a professional approach to presentations, teamwork and leadership.

  • Apply the necessary study and research skills to support the analytical, critical and reflective requirements of written assessments.


This course has been designed in collaboration with HORIBA MIRA to prepare you for the rapidly growing industry of Connected Autonomous Vehicles.

The focus on the systems that allow these vehicles to operate aims to prepare you for potential careers in connected autonomous vehicle design, infrastructure development and much more in this exciting and expanding field.

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