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.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.
| College | Atlantic Technological University (ATU Sligo) |
| Course ID | 192948 |
| Course Type | Online Learning |
| Course Qualification | Masters Degree |
| Course Start Date | 1st January 1970 |
| Course Duration | 2.5 years |
| Course Time | Part-time |
| Course Fee | 10800 |
| Entry Requirements | 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, C++ or Python) 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. |
| Career Path | This programme is suitable for those looking to up-skill or re-skill into the Connected and Autonomous Vehicle profession. |
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