Maynooth University
Robotics and Embedded AI
Overview
Robotics and Embedded AI at Maynooth University prepares you to build intelligent robotic systems by combining machine learning with embedded hardware and real-world sensing.You’ll learn through a mix of core technical modules and project-based work, culminating in an independent research or industry-linked project.Project-led learning: team-based design and implementation work across the programme, with increasing emphasis on system evaluation and research.Core technical foundation: deep learning, computer vision, and language processing alongside embedded and signal-processing topics.Career-relevant outcomes: skills for robotics engineering, autonomous systems, and embedded AI development.
About this programme
Overview
The Robotics and Embedded AI programme at Maynooth University equips students with the skills to create intelligent robotic systems that integrate machine learning, embedded hardware, and real-world sensing technologies. This innovative course emphasizes hands-on learning through project-based activities, fostering both individual and collaborative skills in a dynamic environment.
What You'll Study
The curriculum blends essential technical modules with practical project work, guiding students from conceptual design to system implementation and evaluation. The programme typically consists of three semesters:
- Semester 1 (Foundation + Innovation): Focus on deep learning, machine learning fundamentals, and team-based design innovation.
- Semester 2 (Systems + Evaluation): Emphasis on building and assessing intelligent systems, including topics like computer vision and digital signal processing.
- Semester 3 (Independent Research / Applied Project): An independent research project, often in collaboration with industry partners or within the university's robotics research group.
Modules (Indicative)
- Deep Learning
- Machine Learning and Neural Networks
- Artificial Intelligence and Language Processing
- Computer Vision
- Digital Signal Processing
- 3D Vision and Augmented Reality
- Robot Design and Innovation (team-based project work)
Assessment: The assessment strategy generally includes a mix of coursework, project deliverables, presentations, and a final research or project component.
Entry Requirements
Prospective students are typically expected to hold a relevant undergraduate degree. Specific academic criteria may vary, so it is advisable to check with the programme for the latest entry requirements.
Career Prospects
Graduates of the Robotics and Embedded AI programme will possess the skills necessary for careers in robotics engineering, autonomous systems development, and embedded AI. The blend of theoretical knowledge and practical experience gained throughout the course prepares students for diverse opportunities in this rapidly evolving field.
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