MSc ROBOTICS AND 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.

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

IELTS : 6.5 with no less than 6.0 in each band

Duolingo English Test (DET) : The minimum requirement will be a DET score of 120 - with at least 110 in each individual subscore. 

Pearson Test of English : 63 with no less than 59 for each item in the Communicative Skills section

TOEFL internet-based test  : iBT: 90 with no less than 21 in writing and at least 19 in every other section

Career Opportunities in Robotics and Embedded AI

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.