Robotics & Embedded AI

The Robotics and Embedded AI MSc will provide graduates in computing, engineering and cognate disciplines with specialised training in the design and control of intelligent machines. Robotics is a multi-disciplinary field of study requiring skills in computing, electronics and mechanical engineering.

Teamwork, innovation and the validation of science through practice are central to this success in this field. The programme has a large team project each semester where students explore the application of the theories of robotics with a focus on design thinking and innovation in the first semester and system realisation and evaluation in the second semester. In the third semester, they undertake a large independent research project in partnership with industry or the robotics research group.

The programme builds on the strong foundations of Maynooth's undergraduate degrees in Computer Science (CS) and Robotics and Intelligent Devices (RID) undergraduate programmes. Many of the specialised 4th-year modules from these programmes are part of the MSc degree. They are supplemented by specialised training in deep learning, augmented reality, human-robot interaction, robot ethics and cognitive robotics.

Upon graduation, the students will be thoroughly grounded in robotics theory and cutting-edge research. They will also have developed transferable skills in design thinking, innovation and teamwork. And finally, they will have demonstrated their newfound skills by completing a research project at the cutting edge of robotics and embedded AI.

Given the diverse backgrounds of the student intake, the programme provides two main pathways:
1. students from a computing background are introduced to the engineering principles of control theory, digital signal processing and robotics.
2. for students coming from an engineering or robotics background, some courses focus on AI, deep learning and computation.

The dissertation research project will be available in two forms: a traditional project based in an academic research lab or a project undertaken as part of an internship with robotics firms who are supporting the programme, such as Eiratech Robotics, Combilift, Intel, Ubotica, Fanuc Robotics, Akara Robotics, Otherlab, etc.

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: please visit Maynooth University International Office website for information about English language tests accepted and required scores. The requirements specified are applicable for both EU and non- EU applicants.

Maynooth University's TOEFL code is 8850.

Closing Date : 30 June 2024

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

Commences: TBC

Completing a master's program in Robotics and Embedded AI opens the door to compelling career opportunities. Graduates can pursue roles as Robotics Engineers, specializing in designing and maintaining robotic systems, or as AI Engineers, focusing on developing AI algorithms for robotic applications. They may also become Embedded Systems Developers, working on the software and hardware that control robotic devices and IoT systems, or Automation Engineers, automating processes in various industries. Research positions, either in academia or industry, offer the chance to contribute to advancing robotics and AI technologies.

Alternatively, graduates can enter product development, software development, data science, or autonomous vehicle engineering. Entrepreneurial individuals may even start ventures in this rapidly evolving field, catering to various industries and applications. The possibilities are diverse and dynamic, driven by one's interests and expertise.