Qualification : MASTER OF SCIENCE DEGREE
Award Type and NFQ level : TAUGHT MASTERS (9)
CAO/MU Apply code : MHJ20
CAO Points :
Closing Date : 30 June 2025
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.
Candidates should have a minimum 2.1 grade honours (level 8) degree in a cognate discipline such as engineering, computer science, physics or maths or their international equivalent.
Candidates with a minimum 2.2 grade honours (level 8) degree in any discipline who can demonstrate at least five years of experience in software, embedded systems, or firmware development will also be considered.
In exceptional circumstances, consideration will be given to candidates who do not hold a primary degree but have at least 10 years of relevant work experience in a software development, embedded systems or firmware role.
Candidates will provide evidence of proficiency in a high-level computer language of their choice.
Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.
Minimum English language requirements:
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. The requirements specified are applicable for both EU and International applicants.
Maynooth University's TOEFL code is 8850
Head of Department
Academic
Academic
Department of Electronic Engineering
Department of Faculty of Science & Engineering
Department of Hamilton Institute
Department of Radiospace
Department of Registrar's Office
Academic
Academic
Department of Electronic Engineering
Department of Hamilton Institute
Department of Computer Science
Department of Human Health Institute
Academic
Academic
Academic
Academic
Academic
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.
Online application only. To make an application please click here.
To apply for your chosen postgraduate study at Maynooth University, please ensure you have the following documents to make an application:
- Evidence of your primary degree
- Academic transcripts
- A copy of your passport
- A personal statement
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. The requirements specified are applicable for both EU and International applicants.