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MSC ROBOTICS AND EMBEDDED AI
Emphasising innovation and practical problem-solving, this 1-year full-time multidisciplinary programme blends computing, electronics, and mechanical engineering to address the complex challenges of robotics and embedded artificial intelligence.
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- Qualification
- Master Of Science Degree
- CAO/MU Apply code
- MHJ20
- Award Type and NFQ level
- TAUGHT MASTERS (9)
- Study Mode
- Full time
- Closing Date
- 27 August 2027
Overview
The MSc in Robotics and Embedded AI at Maynooth University equips graduates from computing, engineering, and related disciplines with specialized expertise in designing and controlling intelligent machines. This multidisciplinary program blends computing, electronics, and mechanical engineering to address the complex challenges of robotics and embedded artificial intelligence.
The program emphasizes innovation, teamwork, and practical problem-solving. Each semester features a combination of individual and team projects, allowing students to develop both independent problem-solving skills and collaborative expertise: the first semester focuses on design thinking and innovation, the second semester highlights system realization and evaluation, and the third semester is dedicated to an independent research project, conducted in partnership with industry or within the university's robotics research group. These projects ensure that students gain hands-on experience applying advanced theories and methodologies in robotics.
The MSc program leverages Maynooth University's strong foundation in Computer Science and Robotics and Intelligent Devices undergraduate programs. Many advanced modules from these programs are included, along with specialized topics such as deep learning, augmented reality, human-robot interaction, robotics ethics, and cognitive robotics.
Students from diverse academic backgrounds can benefit from tailored pathways:
- Computing graduates will gain an understanding of engineering principles, including control theory, robotics, and digital signal processing.
- Engineering or robotics graduates will focus on advanced computing topics, such as artificial intelligence and machine learning.
Graduates will emerge with a comprehensive understanding of robotics and embedded AI, grounded in cutting-edge theory and research. They will also develop transferable skills in design thinking, teamwork, and innovation, demonstrated through their completion of a research project addressing real-world challenges. This program prepares students for impactful careers in industries ranging from technology and healthcare to agriculture and advanced manufacturing.
Course structure
Duration: 1 year full-time
Programme learning outcomes:
1. Demonstrate knowledge of current technologies in sensing, actuation and cognition for robot and embedded AI systems.
2. Demonstrate skills in the construction and evaluation of robotic and embedded AI systems.
3. Demonstrate awareness of the societal context of developing robotic and embedded AI systems in terms of safety, ethics and privacy.
4. Demonstrate transferable skills of teamwork and communication while executing complex technological projects.
5. Demonstrate knowledge of the innovation management process and its linkage to the commercial and environmental sustainability of robotics and embedded AI systems.
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually.
Important: The information on this page is for prospective students, MU current students and staff should use Programme Directory.
Careers after your Masters
A master's degree in Robotics and Embedded AI from Maynooth University opens doors to dynamic and rewarding careers across diverse industries, including agriculture, healthcare, automation, manufacturing and semiconductors. Graduates are equipped to address real-world challenges with cutting-edge skills in robotics, AI, and embedded systems technologies.
Key Career Paths:
- Robotics Engineer: Design and maintain robotic systems for various industries.
- AI Engineer: Develop advanced AI algorithms for robotics and autonomous systems.
- Embedded Systems Developer: Build software and hardware for IoT devices and robotic platforms.
- Automation Engineer: Implement automated solutions to optimise industrial and commercial processes.
- Autonomous Systems Specialist: Focus on self-driving vehicles, drones, and intelligent robotic platforms.
Specialised and Emerging Roles:
- Human-Robot Interaction Designer: Design systems to enhance collaboration between robots and humans with intuitive interfaces.
- Research Scientist (Robotics/AI): Contribute to advancements in robotics and AI technologies in academia or industry.
- Entrepreneur: Launch innovative ventures in robotics and AI, addressing global challenges.
Industry Partnerships and Internships
Students gain hands-on experience through internships and projects with industry leaders, including but not limited to:
- Eiratech Robotics
- Intel
- Akara Robotics
- St. James's Hospital
- SureWash
- Evercam
- Normal Computing
- Royal College of Surgeons in Ireland
- Otherlab
- Comex McKinnon
These partnerships offer invaluable opportunities to work on cutting-edge solutions, preparing students for impactful careers.
Entry Requirements
Applicants must hold a minimum of a Bachelor Honours degree (NFQ Level 8) (or equivalent) with a minimum of a Second-Class Honours, Grade 1 (2:1) in a cognate discipline such as engineering, computer science, physics or maths. Programming experience is an essential requirement, and applicants must provide evidence of proficiency in programming, particularly in Python and/or C++.
If you do not meet the standard entry requirements then you may be eligible to apply under the University's Recognition of Prior Learning (RPL) policy. Please click here for further information.
Applicants for whom English is not their first language are required to demonstrate their proficiency in English in order to benefit fully from their course of study. For information about English language tests accepted and required scores, please see here.
How to apply
Applications must be made via the MU Apply portal. Please click here to start your application.
When making your application, please ensure you prepare any documents listed below. You may be required to submit documents in two stages. You will be required to upload and submit the following documents with your application:
- Full academic transcripts for all semesters/ years completed to date
- Graduation Certificate if you have graduated
- A copy of your passport
- Up to date CV
If English is not your first language, you may be required to upload evidence of English language proficiency. For information please click here.