Curious about studying Automotive Mechatronics MScat Cranfield University? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Cranfield Campus
Full Time
Sep 2026
1 Year
Vehicles are no longer purely mechanical machines; they are complex electromechanical systems, driven by thousands of lines of software and designed using advanced tools and methodologies. From developing electric drivetrains that maximise energy efficiency, to designing active aerodynamic systems for high-end and hypercar applications, developing vehicles for clean-energy racing series, or creating advanced driver assistance systems for off-road applications, today’s automotive engineer must operate confidently across multiple engineering disciplines. The Automotive Mechatronics course is designed to prepare engineers for this new reality. It provides a strong foundation in relevant mechanical engineering principles, electrical and electronic systems, control theory, vehicle communications, while introducing key technologies such as electric machines, power electronics, energy storage and high-voltage architectures. You will apply this knowledge through automotive-focused modules covering electric and hybrid-electric drivetrains, vehicle dynamics, intelligent control systems, and modelling and simulation and a 2-month Group Project. A strong emphasis is placed on practical, hands-on learning through laboratory work, design-led projects, and the use of industry-leading software tools, hardware-in-the-loop platforms, and rapid prototyping environments. This ensures that you leave the programme with both a rigorous theoretical grounding and the practical, vehicle and system-level engineering capability required to meet the demands of today’s automotive industry.
This module will provide deep understanding of vehicle propulsion options and driveline supporting students to analyse and predict vehicle performance. The interdependency of vehicle systems will be reviewed to critically evaluate the integration of different alternative powertrain options and be able to select appropriate solutions within legislation framework.
To equip you with the skills needed to understand, design and assess single-variable feedback control algorithms using classical control techniques for use in automotive systems.
To introduce you to MATLAB and Simulink, industry-standard CAD tools for control system design.
The aim of this module is to empower students with the capability to analyse, synthesise and evaluate various technologies and integration challenges associated with Electric and Hybrid-Electric Vehicles. The module is structured to provide in-depth knowledge and expertise in the design and development of the main systems, components, and architectures of Electric and Hybrid-Electric Vehicles. The module includes case studies of commercially available Electric and Hybrid-Electric Vehicles, as well as a range of practical workshops.
To provide a fundamental understanding of vehicle dynamics as applied to wheeled vehicles.
To introduce you to road vehicle ride and handling, from requirements to analytical modelling and practical viewpoints.
To link understanding of vehicle dynamics, ride and handling to the practical implications for suspension and steering system design.
To provide a fundamental understanding of physical modelling applied to vehicles mechatronic systems,
To introduce you to modelling techniques, from basic methodology to graphical modelling and practical viewpoints,
To illustrate the role of first principle and data-driven modelling.
To provide knowledge of advanced control engineering theory and techniques and their application to automotive control,
To introduce you to the tools and methodology associated with multivariable control design techniques,
To provide you with practical experience in designing and simulating advanced modern controllers within the context of multi-domain automotive systems.
Within the context of modern automotive control system, the aim of this module is for you to critically evaluate the different technologies and methods required for the efficient vehicle implementation, validation and verification of the automotive mechatronic system.
The aim of this module is to cover a range of applications of Control Theory and Artificial Intelligence techniques in different components of a modern vehicle including engines, electric motors, energy storage, steering, chassis, suspensions, advanced driver-assistance systems, etc.
To introduce the programme and the courses and the facilities available at Cranfield.