| Course Name |
Automotive Artificial Intelligence |
| Course Provider |
Institute of Technology Sligo |
| Course Code |
108234 (Assigned by Qualifax. Not an official code) |
| Course Type |
Postgraduate |
| Qualifications |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
| Minor Certificate (Level 9 NFQ)
More info...
|
Minor |
Institute of Technology Sligo |
Level 9 NFQ |
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| Apply To |
Course provider |
| Attendance Options |
Part time, Online |
| Location (Districts) |
Ballinode |
| Enrolment and Start Dates Comment |
Contact the college for the next start date. |
| Application Date |
Expand+Application Closing Date: 31st August 2021.
This programme is funded under the Springboard initiative. Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for employability, inclusion an...
Hide-Application Closing Date: 31st August 2021.
This programme is funded under the Springboard initiative. Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for employability, inclusion and learning 2014-2020. If you are unemployed, you may be entitled to free fees for this programme under this initiative. If this programme is funded you will find it and be able to submit an application on the Springboard site at www.springboardcourses.ie
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| Application Weblink |
Web Page - Click Here |
| Course Fee |
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). |
| 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 (C or Python Programming) and Level 8 Engineering Maths are pre-requisites to the course. |
| Course Content |
Expand+Course Summary
This NFQ Level 9, 30 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 g...
Hide-Course Summary
This NFQ Level 9, 30 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 one year part time with 30 credits of taught modules delivered online.
This programme is funded under the Springboard initiative. Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for employability, inclusion and learning 2014-2020. If you are unemployed, you may be entitled to free fees for this programme under this initiative. If this programme is funded you will find it and be able to submit an application on the Springboard site at www.springboardcourses.ie
|
| Subjects Taught |
Semester 1
Title Credits
Applied Linear Algebra 05
ADAS and Autonomous System Architecture 05
Machine Learning 05
Semester 2
Title Credits
Multiple View Geometry in Computer Vision 05
Modelling, Simulation and Test Methods for Advanced Driver Assistance Systems 05
Multi-Modal Sensor Systems 05
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| Number of Credits |
30 |
| Careers or Further Progression |
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. |
| Further Enquiries |
Admissions Office
T: 353 (0) 71 931 8511
E: admissions@itsligo.ie |
| Course Web Page |
Web Page - Click Here |
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