Engineering - Connected & Autonomous Vehicles - Sligo
This programme, which has been has been developed in collaboration with industry, specialises in the design and development of Advanced Driver Assistance Systems - the underlying technology of smart and autonomous vehicles. It brings together interdisciplinary concepts such as computer vision, artificial intelligence, vehicle dynamics and advanced sensor systems to provide current engineers with the skills required to design the next generation of automotive technology.
Study Hours
It is recommended that students should try to allow for 5-6 hours per week per five-credit module to their studies
Who should apply?
This programme is suitable for those looking to up-skill or re-skill into the Connected and Autonomous Vehicle profession.
Subjects taught
Modules
Applied Linear Algebra
ADAS and Autonomous System
Architecture
Environment Detection
Multiple View Geometry in
Computer Vision
Automotive System Safety &
Cybersecurity
Applied Statistics and
Probability
Research Methods
Machine Learning
Vehicle Dynamics and Control
Modelling, Simulation and Test
Methods for Advanced Driver
Assistance Systems
Connected Vehicles
Sensor Fusion
Entry requirements
Applicants with a Level 8 Honours Degree 2.1 or above in Electronic Engineering, Mechatronic Engineering, Mechanical Engineering, Computer Science or a related discipline are eligible to apply for this programme.
Credits
60
Duration
2 Years Part-Time
On-Campus Attendance
No attendance required.
Fees
Total: €9,000
Per 5 Credit Module: €750
Post Course Info
Career Opportunities
Upon completion students will be eligible to attain a MEng in Connected and Autonomous Vehicles by completing an additional 30-Credit Research Dissertation in the Field of Connected and Autonomous Vehicles.
Students will find employment in Senior Design Positions in Electronic, Mechanical, Mechatronics and Embedded Systems engineering for highly regulated industries. Although primarily directed at the automotive sector, many of the skills such as Machine Learning, Pattern Detection and Computer Vision are highly sought after for R&D roles in other industries such as the medical, agricultural and high-volume manufacturing industries.