MSc ROBOTICS AND EMBEDDED AI

1 Year On Campus Masters Program

Maynooth University

Program Overview

The MSc in Robotics and Embedded AI at Maynooth University is a forward-looking postgraduate programme that combines robotics, embedded systems, and artificial intelligence to prepare graduates for the development of intelligent, autonomous technologies. It is well suited to students from computing, engineering, physics, mathematics, or related backgrounds who want strong practical and theoretical skills for careers in robotics, AI, and smart systems.

Curriculum Structure

Year 1 – Semester 1
In the first semester, students develop a solid foundation in robotics and embedded intelligence through core modules such as Control Systems, Embedded Systems, and Design Thinking. Emphasis is placed on understanding how intelligent systems are conceived, designed, and controlled, while team-based project work helps students apply theory to real-world robotic challenges.

Year 1 – Semester 2
The second semester advances students’ expertise with modules including Deep Learning, Human-Robot Interaction, and Ethics and Safety in Robotics. Students focus on integrating software and hardware, evaluating intelligent systems, and understanding the societal impact of autonomous technologies, preparing them for complex system development.

Year 1 – Semester 3
The final stage of the programme centres on a substantial Research Project, allowing students to specialise in an area of robotics or embedded AI that aligns with their interests or career goals. Projects are often connected to Maynooth University’s active research groups or industry-focused challenges, giving students valuable experience in applied research and innovation.

Focus Areas

Robotics and autonomous systems, embedded artificial intelligence, control and sensing, deep learning for robotics, human-robot interaction, ethical and safe AI systems.

Learning Outcomes

Graduates will be able to design, implement, and evaluate robotic and embedded AI systems, apply advanced machine learning techniques to real-world problems, work effectively in multidisciplinary teams, and critically assess the ethical and societal implications of intelligent technologies.

Professional Alignment (Accreditation)

This programme is a Level 9 qualification within the National University of Ireland framework and is designed to align with industry expectations across robotics, automation, embedded systems, and artificial intelligence sectors.

Reputation (Employability & Rankings)

Maynooth University is an internationally recognised institution, consistently featured in global university rankings and known for strong graduate employability, research-led teaching, and close links between academia and industry.

Experiential Learning (Research, Projects, Internships etc.)

The MSc in Robotics and Embedded AI at Maynooth University is designed to ensure you graduate with real, hands-on experience, not just theoretical knowledge. From the outset, students work directly with robotic systems, embedded platforms, and intelligent software, applying what they learn through continuous project work. Teaching is strongly practice-led, with access to dedicated robotics facilities and close links to active research and industry, allowing students to gain confidence working with real technologies used in professional environments:

Students have access to the Maynooth University Robotics Laboratory, a purpose-built facility developed with industry support, where they work with modern robotic platforms used in research and industrial applications.
The programme includes regular individual and group-based projects, where students design, implement, and evaluate embedded AI and robotic systems across multiple modules.
A substantial final research project forms a core part of the degree, giving students the opportunity to work closely with academic researchers or on industry-informed problems in robotics and embedded intelligence.
Students gain hands-on experience with robotic arms, mobile robots, sensing systems, and human-robot interaction platforms, reinforcing learning in control, perception, and intelligent behaviour.
The programme benefits from strong industry connections, supporting project collaboration and exposure to real-world engineering challenges within robotics and automation sectors.
Students are embedded within Maynooth University’s wider research environment, including engagement with the Hamilton Institute, which supports interdisciplinary research in robotics, intelligent systems, and advanced computation.
Access is also provided to the university’s engineering facilities and technical resources, as well as library and digital research services that support advanced postgraduate study.

Progression & Future Opportunities

Graduates of the MSc in Robotics and Embedded AI at Maynooth University develop a strong combination of technical expertise, practical experience, and problem-solving ability that prepares them for immediate entry into high-growth technology sectors. Typical career paths include roles such as Robotics Engineer, AI Engineer, Embedded Systems Engineer, and Automation or Control Engineer, where graduates contribute to the design and deployment of intelligent systems. With this foundation, students are well positioned for both rapid career progression and long-term professional development:

Careers and Employability Support: Maynooth University’s Careers and Employability Service provides dedicated support for postgraduate students through CV and interview coaching, careers workshops, employer presentations, and access to work placement opportunities, helping students transition smoothly from study to employment.
Industry Engagement: The programme benefits from strong links with robotics and technology companies, including organisations such as Intel, Akara Robotics, and Eiratech Robotics, offering opportunities for industry-informed projects, collaboration, and professional networking.
Graduate Outcomes: Graduates commonly progress into engineering, software, and AI roles across sectors such as automation, manufacturing, healthcare technologies, and smart systems, reflecting the strong demand for skills in robotics and embedded intelligence.
Qualification Value: As a Level 9 National University of Ireland award, this MSc is widely recognised across Europe and internationally, strengthening graduates’ credentials in competitive global job markets.
Long-Term Career Potential: The advanced technical and research skills developed through project work also support progression into innovation-focused roles, technical leadership positions, and research-driven careers over time.

Further Academic Progression:
Graduates who wish to continue their studies can progress to PhD research in Robotics, Artificial Intelligence, Embedded Systems, or related disciplines at Maynooth University or other research-intensive institutions. The independent research project completed during the MSc provides strong preparation for doctoral study and academic or industrial research careers.