Engineering - Connected & Autonomous Vehicles - Sligo

This programme, which has been has been developed in collaboration with industry, specialises in the design and development of Advanced Driver Assistance Systems - the underlying technology of smart and autonomous vehicles. It 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.



Who should apply?

This programme is suitable for those looking to up-skill or re-skill into the Connected and Autonomous Vehicle profession.

Subjects taught

What will I study?

Postgraduate Diploma:

Applied Linear Algebra

ADAS and Autonomous System Architecture

Environment Detection

Multiple View Geometry in Computer Vision

Automotive System Safety & Cybersecurity

Applied Statistics and Probability

Research Methods

Machine Learning

Vehicle Dynamics and Control

Modelling, Simulation and Test Methods for Advanced Driver

Assistance Systems

Connected Vehicles

Sensor Fusion



Master of Engineering:

MEng CAV Research Dissertation

Entry requirements

Applicants 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.



Recognition of Prior Learning: Yes.

Application dates

How to Apply

Before you Apply Before you apply for a flexible learning course at ATU, we recommend that you research your course, through this prospectus and by viewing the course webpage. Please ensure to check the entry requirements and time commitment involved, as these vary from course to course. You will find details on entry requirements on the individual course webpage.



When to Apply

Flexible learning courses are popular, and they fill on a first come, first served basis. There are two major intake periods throughout the academic year, September and January.



For January start courses, applications typically open in October, and for September start courses, applications typically open in February. Closing dates for applications are listed on the individual course webpages.



How to Apply

Applying for a flexible learning course is easy, simply visit the webpage of your chosen course and select the ‘apply now’ button, and follow the steps outlined.



Each campus has it’s own application process and for further information on these processes, please visit atu.ie/apply-now

Credits

90

Duration

2.5 years part-time, online.



Study Hours

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: No attendance required.

Fees

Total cost of the MEng in Connected and Autonomous Vehicles is €11,000

Post Course Info

Progression Pathways

Many of our Masters programmes are structured in a way that includes recognised entry and exit awards. This means that you can apply for part of Masters first and learn at your own pace or if you are unable to complete the full programme, you can still gain a recognised qualification. Our entry and exit awards typically include Postgraduate Certificate award and a Postgraduate Diploma award.

More details
  • Qualification letters

    MEng

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Part time

  • Apply to

    Course provider