Engineering - Connected & Autonomous Vehicles
This Post Graduate Diploma 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.
This NFQ Level 9, 60 ECTS Credits Post Graduate Diploma 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 is run over one year (Springboard places) and two years part time with 60 credits of taught modules primarily delivered online with some on-campus workshops.
Springboard+ 2020 Approved Course: A limited number of places are available on the Springboard+ 2021 programme. If you are unemployed, you may be entitled to free fees for this programme under this initiative. If you are in employment, you may be entitled to 90% funding for this programme, under this initiative. You will find this programme available on the Springboard+ website and can submit an application on the Springboard site at www.springboardcourses.ie
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.
Applicants who do not meet these criteria but have the willingness to address them will be considered. Candidate interviews and entrance exams will be used to assess suitability for the programme.
In addition, international students, whose first language is not English, will be required to prove their English competency through previous examination results, recognized English language tests such as IELTS (6.5 or equivalent required) and through oral communication skills at interview.
Applied Linear Algebra 05
ADAS and Autonomous System Architecture 05
Environment Detection 05
Research Methods 05
Machine Learning 05
Vehicle Dynamics and Control 05
Multiple View Geometry in Computer Vision 05
Automotive System Safety & Cybersecurity 05
Applied Statistics and Probability 05
Connected Vehicles 05
Modelling, Simulation and Test Methods for Advanced Driver Assistance Systems 05
Sensor Fusion 05
1 or 2 years part-time.
Per 5 Credit Module: €750
Post Course Info
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.