Intelligent Robotics

The MSc in Intelligent Robotics is a 90 ECTS (Credits) programme, which includes a taught component of 60 ECTS (delivered in Autumn and Spring Semesters), with a Research Thesis of 30 ECTS, on a state-of-the-art topic in intelligent robotics undertaken over the entire year of the programme. 



All students complete the Research Thesis component. Students also choose from a number of advanced discipline-specific technology modules covering topics including robot kinematics and control, robot architectures, sensing and perception, artificial intelligence, autonomous navigation, simulation and digital twins, and embedded systems design.



Students must select modules with a combined credit weighting of 45-50 ECTS.



A range of Engineering Transferable Skills modules enable students to develop skills in business, innovation, regulatory and research methods, while also providing options for training in advanced mathematical techniques and information technology. These modules will prepare students for lifelong learning and development in a professional engineering career, either in industry or in a research environment. Students must choose 10-15 ECTS of modules from the Transferable Skills category.

Year 1 (90 Credits)

Optional EE551: Embedded Image Processing - 5 Credits - Semester 1

Optional EE5111: Intelligent Robotics Project - 30 Credits - Semester 1

Optional EE5116: Mobile Device Technologies - 5 Credits - Semester 1

Optional EE4101: Mobile Networks: Architecture and Services - 5 Credits - Semester 1

Optional CT561: Systems Modelling and Simulation - 5 Credits - Semester 1

Optional CT5105: Tools and Techniques for Large Scale Data Analytics - 5 Credits - Semester 1

Optional CT4101: Machine Learning - 5 Credits - Semester 1

Optional EE445: Digital Signal Processing - 5 Credits - Semester 1

Optional EE5103: Digital Control Systems for Automation and Robotics (Level 9) - 5 Credits - Semester 1

Optional EE5110: Sensing and Perception for Robotics and Autonomous Vehicles - 5 Credits - Semester 1

Optional AY872: Financial Management I - 5 Credits - Semester 1

Optional ME432: Technology Innovation & Entrepreneurship - 5 Credits - Semester 1

Optional ME521: Research Methods for Engineers - 5 Credits - Semester 1

Optional IE450: Lean Systems - 5 Credits - Semester 1

Optional IE446: Project Management - 5 Credits - Semester 1

Optional ME4105: Safety Engineering - 5 Credits - Semester 1

Optional BSS2103: Introduction to Sustainability 1 - 5 Credits - Semester 1

Optional EE5104: Embedded Machine Vision - 5 Credits - Semester 2

Optional EE5127: Internet of Things Systems Design - 5 Credits - Semester 1

Optional ME5106: Advanced Manufacturing - 5 Credits - Semester 2

Optional CT5100: Data Visualisation - 5 Credits - Semester 2

Optional CT437: Computer Security and Forensic Computing - 5 Credits - Semester 2

Optional EE5108: Digital Twins for Robotics - 5 Credits - Semester 2

Optional EE5109: Robotic Control, Navigation and Locomotion - 5 Credits - Semester 2

Optional BSS2104: Introduction to Sustainability 2 - 5 Credits - Semester 2

Candidates must hold at least a Second Class Honours Level 8 primary degree in a related subject area or hold a primary degree in a related area (which is acceptable to the college) without honours and have three years’ relevant practical experience in the subject area.

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).

1 year, full-time

Next start date: September 2026

Graduates of the MSc in Intelligent Robotics are well-prepared for dynamic careers across cutting-edge industries. Opportunities span autonomous vehicles, advanced manufacturing, IoT, AI, and data analytics - where expertise in robotics, computer vision, and control systems is in high demand. This programme opens doors to roles in innovation, research, and development, empowering graduates to shape the future of technology, science, and sustainable engineering.