Master of Engineering in Connected and Autonomous Vehicles

Subject to Validation

This Masters Degree specialises in the design and development of Advanced Driver Assistance Systems, the underlaying technology of smart and autonomous vehicles. This part-time programme 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.

About this Programme

This NFQ Level 9, 90 ECTS Credits Masters Degree has been developed in collaboration with industry and is aimed at Electronic, Computer, Mechanical and Mechatronic Engineers who wish to develop the skills required to design the next generation of technology for smart and autonomous vehicles.

The programme will run over two years part time with 60 credits of taught modules primarily delivered online with some on-campus workshops. This will be followed by a 30-credit industrial research project in the field of Advanced Driver Assistance Systems.

Application Closing Date : 31st August 2018

Mech. and Electronic Eng. Taught Masters Degree by Thesis

Entry Requirements

This Programme is open to students who have obtained the necessary pre-requisites and an Honours Degree (2:1 or above) in one of the following fields or a closely related discipline and has:

  • Electronic Engineering
  • Mechatronic Engineering
  • Computer Engineering

Career Opportunities

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.

What subjects will I study?

Semester 1

Advanced Driver Assistance Systems Basics 5
Sensors for Advanced Driver Assistance Systems 5
Linear Algebra 5

Semester 2

Computer Vision 5
Functional Safety and Security 5
Applied Statistics and Probability 5

Semester 3

Pattern Detection and Machine Learning 5
Research Methods 5
Vehicle Dynamics 5

Semester 4

Modelling, Validation and Simulation of Advanced Driver Assistance System 5
Multi-Modal Sensor Systems 5
Vehicle to X Communication 5
Research Project and Dissertation 30

Who do I contact?

Admissions Office
T: 353 (0) 71 931 8510