Automotive Artificial Intelligence - Sligo

Course Overview

This NFQ Level 9, 30 ECTS Credits Postgraduate Certificate 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 one year part time with 30 credits of taught modules delivered online.



Who Should Apply?

This programme is suitable for Electronic, Computer, Mechanical and Mechatronic Engineers looking to up-skill or re-skill into the Connected and Autonomous Vehicle profession.

Semester Module Details Credits Mandatory / Elective

1 Applied Linear Algebra 05 Mandatory 1 ADAS and Autonomous System Architecture 05 Mandatory

1 Machine Learning 05 Mandatory

2 Multiple View Geometry in Computer Vision 05 Mandatory

2 Modelling, Simulation and Test Methods for Advanced Driver Assistance Systems 05 Mandatory

2 Sensor Fusion 05 Mandatory

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.



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. RPL is a process that may allow you to gain admission to a programme or to receive exemptions/ credit for some parts of the programme based on demonstrated learning that you may have achieved through another programme of study or through your work or career. Further information is available at www.atu.ie/recognition-of-prior-learning which our dedicated RPL portal or by contacting our admissions team at admissions.sligo@atu.ie .



Programming knowledge (C or Python Programming) and Level 8 Engineering Maths are pre-requisites to the course.

Application Closing Date 14th August 2026

30

1 year part-time, online.



Recommended Study Hours per week

Live lectures normally take place between 6pm and 10pm, Monday to Thursday but this may vary depending on the availability of specific lecturers. If the Live Classroom scheduled times for the live online lectures do not suit you, recordings will be made available through Moodle. It is recommended that students should try to allow for 5-6 hours per week per five-credit module to their studies.



On-Campus Attendance Requirement: No attendance required.

Total: €4,500

Per 5 Credit Module: €750


Springboard Fees

Fee €4,000

Free for those classified as unemployed.

Fee for employed participants €400 (10% of fees)

Start Date September 2026

Careers

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.