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.

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

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.

60

2 Years Part-Time



On-Campus Attendance

No attendance required.

Total: €9,000

Per 5 Credit Module: €750

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.