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Autonomous Vehicles Engineering – MEng

  • Location: Moylish, Limerick City

  • years: 2


Course Overview

The Masters of Engineering in Autonomous Vehicles Engineering is designed for engineering professionals working or aspiring to work in the mobility (automotive) industry. Students can broaden their skill set for careers in Autonomous Vehicle Engineering and Technology, Design, Maintenance, Upgrading and Development. The programme has an embedded Post Graduate Diploma in Autonomous Vehicle Engineering which can be attained by completion of the 6 taught modules within the Master programme.

Critical thinking, problem-solving, decision-making, engineering and diagnostic techniques will be key areas covered by the programme. As assessments will be mainly industry based, learners are required to engage with industry and industry representatives in various cross-disciplines through continuous assessment and industry-based projects. This will prepare learners to be industry ready and apply the transferable skills gained through module content, industry engagement, and strengthened by industry-based assessments. The programme has been developed in collaboration with key industry stakeholders and is designed to respond to the evolving and fast moving sector.

Contact Details

Programme Leader

Ailbe Burke: Ailbe.Burke@tus.ie

Entry Requirements

Minimum entry requirements for this courses are:

(a) A minimum honours bachelor degree (Level 8) in a related discipline.
(b) A minimum honours bachelor degree (Level 8) in any discipline with minimum two years, relevant work experience and/or ability, evidenced by an RPL portfolio of prior experience and learning.
(c) A minimum ordinary bachelor degree (Level 7) in any discipline with a minimum of 3 years relevant work experience and/or ability, evidenced by an RPL portfolio of prior experience and learning.
(d) Equivalent Qualifications. Applicants with equivalent qualifications on the European and International frameworks will also be considered. International students must evidence a proficiency in English language for example IELTS 6.0

Course Modules

  • Autonomous Vehicle Embedded Systems

    Credits: 10

    This module will provide a comprehensive overview of embedded systems within autonomous vehicles. Building from an overview of vehicle electrical and mechanical systems through to the architecture of systems and emerging trends. Vehicle based communication networks will be assessed and the emerging solutions and challenges associated with autonomous vehicles.

  • Autonomous Vehicle Communication And Intelligent Transport Systems

    Credits: 10

    The aim of this module is to provide the learner with an up-to-date, comprehensive knowledge of the main wired and wireless communications technologies that are used in current and future production of Autonomous Vehicle systems.

  • Autonomous Vehicle Hardware And Software Systems, Architectureand Design

    Credits: 10

    In this module, students will delve into Autonomous vehicle layout, components and system architectures. Here the learner will evaluate the role cognitive control units play in perceiving and interacting with the environment, enabling the recognition of fellow vehicles and traffic participants. This advanced level of intelligence facilitates the autonomous operation of vehicles, enhancing safety, security, comfort, energy efficiency, and time
    management.

  • Artificial Intelligence In Modelling And Simulation ForobjectrecognitionAnd Risk Analyses

    Credits: 10

    In this module, students will embark on an in-depth exploration of virtual prototypes and simulation techniques, gaining a robust understanding of their practical applications. With the use of AI in simulation, evaluation and testing of software platforms, this course aims to impart comprehensive knowledge about the principles, characteristics, and benefits of various modelling techniques, emphasising their relevance in contemporary engineering and design disciplines.

  • Autonomous Vehicle Sensing Technology, Systems And Architecture

    Credits: 10

    Autonomous vehicle sensing technology plays a crucial role in enabling self-driving vehicles to perceive and understand their environment. These technologies use a combination of sensors, cameras, radar, lidar, and other advanced systems to gather real-time data and make informed decisions.

  • Regulations, Standards And Safety For Autonomous Vehicles

    Credits: 10

    This module can help developers, engineers, and policymakers navigate the complex landscape of regulations, standards, and safety considerations associated with autonomous vehicles. It’s important to stay updated on evolving regulations and standards as the field continues to advance.

  • Masters Thesis Autonomous Vehicle Engineering

    Credits: 30

    The module aims to encourage learners to develop an integrative approach to learning and critical thinking as they bring together a range of concepts, theories, frameworks and practices within a research setting. The module focusses on the following: preparation of a small-scale research proposal, analysis and synthesis of extant literature at the forefront of the candidate’s research interest; application of the findings from the literature review to the design; testing and execution of an in-depth primary research study; interpretation and reporting of findings to supervisor, and the application of both secondary and primary findings to the preparation of clear, well-justified conclusions which address the original aims and objectives of the research.

What can you do after this programme?

Core Engineering Roles;
Perception Software Engineer: Develops machine learning models and algorithms that allow the vehicle to “see” and understand its surroundings using data from sensors like LiDAR, cameras, and radar.

Robotics Software Engineer: Focuses on the design, programming, and testing of the robotic systems that control vehicle movement and decision-making processes.

Control Systems Engineer: Specializes in the systems that manage the vehicle’s operations, such as steering, braking, and acceleration, ensuring safety and smooth performance.

Embedded Software Engineer: Works on the real-time, safety-critical software embedded within the vehicle’s hardware components.

AI/Machine Learning Engineer: Designs and implements artificial intelligence and machine learning models for complex functions like path planning, navigation, and object avoidance.

Simulation Software Engineer: Develops and maintains simulation test strategies and frameworks to rigorously test algorithms and systems in virtual environments before physical road tests.

Mechanical Engineer: Involved in designing physical components, integrating hardware with software, and developing vehicle prototypes.

Electrical Engineer: Focuses on the electronic systems, power management, and sensor integration within the vehicle.

Design Engineer: Works on the overall vehicle design, from aesthetic and functional aspects to the integration of new technologies.

Testing, Safety, and Operations Roles
Autonomous Vehicle Test Engineer: Conducts extensive testing, both in simulation and on the road, to validate performance, safety, and reliability.

Functional Safety Engineer: Ensures that vehicles comply with rigorous industry standards and legal regulations (like ISO 26262), designing systems with redundancy and fail-safes to manage risk.

Field Service Technician/Engineer: Responsible for the installation, maintenance, and on-site testing and support of autonomous systems during operations and customer pilots.

Autonomous Vehicle Operator: Oversees the vehicle during testing phases, assuring and maintaining safety and intervening when necessary.

Management and Business Roles
Technical Program/Project Manager: Coordinates the development lifecycle of AV prototypes and projects, working with cross-functional teams to meet deadlines and requirements.

Data Scientist/Analyst: Analysis large amounts of data collected from vehicles to drive improvements in performance, identify issues, and enhance AI/ML models.

Product Manager: Defines product requirements and works closely with engineering, product, and data groups to bring the right product to market.

Strategic Account Manager / Business Development: Works with sales and marketing to identify and pursue business opportunities and ensure the final product meets customer needs.

These opportunities extend beyond traditional automotive companies to tech giants, specialized start-ups, and sectors like logistics (autonomous trucks), aerospace (drones, eVTOL), and smart city infrastructure development.

Students who succesfully complete this programme may wish to pursue PhD research within the department.