Connected and Autonomous Vehicles

Master of Engineering

Course Details

Course Code	SG_ECONN_M09
Level	9
Duration	2.5 years
Credits	90
Method of Delivery	Online
Campus Locations	Sligo
Mode of Delivery	Part Time

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Course Overview

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.

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. It is recommended that students should try to allow for 5-6 hours per week per five-credit module to their studies.

Examination and Assessment

A mix of continuous assessment, laboratory exercise and exams.
Note: Where assessment on the programme involves examinations, these are held on campus or at another exam venue in the Republic of Ireland. There are typically two exam periods: January and May. Times scheduled for examinations (face to face / online exams ) are in GMT.
Students who are resident overseas and those with extenuating circumstances may apply to take examinations online with an external online invigilation service (online proctored exams), where this is available. Places are limited for this service.

On-Campus Attendance Requirement

No attendance required.
Note: Check programme Examination and Assessment requirements, as they may involve examinations to be taken on campus.

Progression

Students who successfully complete this programme may pursue a PhD (Level 10) in this field or related fields.

Download a prospectus

Postgraduate Prospectus Online, Flexible & Professional Development Prospectus

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.

Fees

Total Fees EU: €10,800

Total Fees Non-EU: €12,960

Further information on fees

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.