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Students
Tuition Fee
EUR 875
Per year
Start Date
Medium of studying
Duration
18 months
Program Facts
Program Details
Degree
Diploma
Major
Automotive Engineering | Robotics Engineering | Mechatronics
Area of study
Engineering
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 875
About Program

Program Overview


The Postgraduate Diploma in Engineering in Autonomous Vehicles Engineering at TUS and FMCI combines online learning with in-person workshops, providing professionals with advanced skills for careers in autonomous vehicle engineering, technology, and development. The program covers hardware and software architecture, simulation techniques, sensing technology, regulations, and ethical considerations, preparing graduates for this emerging field.

Program Outline


Degree Overview:

The Postgraduate Diploma in Engineering in Autonomous Vehicles Engineering is designed for engineering professionals working or aspiring to work in the mobility industry. The program is a collaboration between TUS (Technological University of the Shannon) and Future Mobility Campus Ireland (FMCI). Students will benefit from in-person laboratory and workshop sessions taking place on both TUS and FMCI campuses. The program will also benefit from a range of industry experts who will share their in-depth knowledge of this emerging growth market. FMCI is Ireland’s first complete development centre and full-scale test bed, based adjacent to Shannon Airport. The facility focuses on comprehensive mobility technologies that span both ground (autonomous driving, micro-mobility, smart cities, V2X communications) and air (unmanned drones, eVTOL, AAM, UTM) uses.


Outline:

Students will evaluate the role cognitive control units play in perceiving and interacting with the environment, enabling the recognition of fellow vehicles and traffic participants.

  • Modelling and Simulation for Hazard Identification and Risk Analyses: This module explores virtual prototypes and simulation techniques, covering the principles, characteristics, and benefits of various modelling techniques.
  • Students will learn how to apply these concepts in real-world scenarios using simulation software platforms.

Semester 3:

  • Autonomous Vehicle Embedded Systems: This module provides a comprehensive overview of embedded systems within autonomous vehicles, covering vehicle electrical and mechanical systems, system architecture, emerging trends, vehicle-based communication networks, and the challenges associated with AV.
  • Vehicle Communication for Intelligent Transport Systems: This module provides knowledge of the main wired and wireless communications technologies used in current and future production of Autonomous Vehicle systems.

Delivery:

  • Online (Live): 2 hours per week per module for 12 weeks (Tuesday and Thursday 7 – 9pm)
  • Online (pre-recorded): 2 hours per week Semester 1 and 2, 3 hours per week Semester 3
  • In-person workshops: 4 Saturdays per semester

Assessment:

Students will be assessed on their learning by a variety of strategies, including:

  • Continuous assessment through projects, coursework, multiple choice questions, activities, presentations, and assignments.
  • Projects that provide learners with the opportunity to develop new skills and strategies for learning and development to industrial standards.

HCI funding available for eligible applicants. Successful applicants in employment qualify for 90% HCI funding & are liable for the balance of the 10% fee of €875. Successful applicants on a qualifying DSP payment qualify for 100% funding.

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