Sensors for Autonomous Vehicles - Sligo

This programme specialises in Environment Detection and Computer Vision for Advanced Driver Assistance Systems, the underlaying technology of smart and autonomous vehicles. It brings together interdisciplinary concepts to provide engineers with the skills required to contribute to the development of the next generation of automotive technology.



Who should apply?

This course 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.

What will I study?

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

Graduates 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. Programming knowledge (Ideally C++) and Level 8 Engineering Maths are pre-requisites to the course. Graduates who have not obtained this minimum may incorporate other equivalent qualifications and relevant work experience and apply for assessment via the Recognition of Prior Learning (RPL) process.

Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.



For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpage.

1 year part-time, online delivery.



Study Hours

For part-time online or blended learning, it is recommended that you should try to allow for 5-6 hours per week per 5 credit module.



On-Campus Attendance

This programme is primarily delivered online with attendance required for some on-campus workshop.