Electronic Engineering - Robotics & Embedded AI

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.

Entry requirements

Applicants must hold a minimum of a bachelor's degree (NFQ Level 8) (or equivalent) with a minimum of a second-class honours, grade 1 (2:1) in an Engineering, Computer Science, Physics or Maths discipline.



Applicants who do not hold a primary degree but have at least 2-3 years of relevant experience in software or embedded development may apply via Maynooth University's RPL process for Non-Standard Entrants. Please click here for further information.

Application dates

Closing Date : 14 August 2026

Duration

1 year full-time, 2 years part-time.

Post Course Info

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.

More details
  • Qualification letters

    PME

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime,Part time

  • Apply to

    Course provider