Automobile & Motorsport
Connected and Autonomous Vehicle Engineering (Automotive) MSc
Cranfield UniversityAn advanced MSc covering ADAS, autonomous driving, sensors, AI, machine perception, trajectory planning, vehicle control and automotive software.
Related pathways
Study Level
Master's Degree
Study Mode
On Campus
Duration
1 year full-time
Programme Overview
Cranfield's Connected and Autonomous Vehicle Engineering MSc focuses on advanced driver-assistance and automated-driving technologies.
Students study sensors, artificial intelligence, machine perception, real-time decision-making, trajectory planning and vehicle control.
The programme also covers vehicle electronic architectures, software platforms, cyber security, simulation, validation and relevant automotive standards.
Students gain hands-on experience with autonomous vehicle platforms and industry-grade development environments.
Entry Requirements
Applicants normally require a UK first- or second-class honours degree or equivalent international qualification.
Suitable backgrounds include:
Engineering
Computer Science
Mathematics
Physics
Applied Science
Experienced engineers interested in autonomous or intelligent mobility systems are also suitable candidates.
English-Language Requirements
IELTS Academic:
6.5 overall
Minimum 5.5 in each component
Equivalent Cranfield-approved qualifications are accepted.
Career Outcomes
Scholarship Information
Cranfield engineering, automotive and AI-related funding opportunities may be available through the University's Funding Finder and external sponsors.