Intelligent Robotics

Course Overview

The MSc in Intelligent Robotics provides students with the knowledge and skills in AI, computer vision, simulation, robotics and automation required for the rapidly evolving field of Intelligent Robotics.



At the end of this program, students will be able to:

• Develop computer vision systems for automated classification and inspection tasks

• Develop digital twins for the design and implementation of robotics systems

• Design and implement sensing and perception systems for autonomous and robotic systems

• Design and implement control, navigation and locomotion for autonomous vehicles and robotic systems

• Design and implement advanced manufacturing techniques, including additive manufacturing, milling/drilling, cutting/welding, curing etc.


Subjects taught

Indicative list of discipline-specific modules (note: The specific range of modules from which students may choose may vary from year to year, depending on module availability, and student demand):

• Robotic Control, Navigation and Locomotion

• Embedded Image Processing

• Embedded Computer Vision

• Sensing and Perception for Automation and Robotics

• Advanced Manufacturing

• Digital Twins for Robotics

• Mobile Device Technologies

• Mobile Networks: Architecture and Services

• Data Analytics

• Internet of Things Systems Design

• Digital Signal Processing

• Machine Learning

• Computer Security & Forensic Computing



Indicative List of Transferable Skills modules:

• Financial management

• Technology, Innovation and Entrepreneurship

• Research Methods for Engineers

• Lean Systems

• Project Management

• Safety Engineering

• Introduction to Sustainability

Entry requirements

Application to the programme is open to individuals who have Second Class Honours, Grade 1 (H2.1) or equivalent in a Level 8 BE, BSc or equivalent degree in Electrical/Electronic/Computer/Mechatronic Engineering, or Computer Science, from a recognised university or third-level college. Applications from those holding a primary degree in a cognate discipline will be assessed on a case-by-case basis. Factors considered in determining admission will include the specific content of the undergraduate degree, the applicant’s performance, postgraduate experience, and the availability of places.

Application dates

Applications must be completed online at: https://nuigalway.elluciancrmrecruit.com/Apply/Account/Login.



An application requires a registration fee of €35. You will be asked to upload proof of identification, academic transcripts, a personal statement, an academic reference and documentation to fulfil the English requirement (where English is not your first language).

Duration

1 year, full-time

Enrolment dates

Next start date: September 2025

Post Course Info

Career Opportunities

Graduates of this program will access diverse career pathways in emerging fields across a wide range of industries. Opportunities include roles in autonomous vehicle technology, where skills in robotics, computer vision, and control systems are in high demand. Industries such as advanced manufacturing, IoT, artificial intelligence, and data analytics will also seek their expertise, providing pathways to roles in innovation, research, and development. The programme positions graduates for impactful careers, spanning sectors at the forefront of technological advancements, ensuring they contribute to shaping the future of science, engineering, and sustainable innovation.

More details
  • Qualification letters

    MSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider