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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. Duration: 3 years part-time
Disclaimer
The modules below are indicative of the content associated with this course of study.
The modules are subject to change as the curriculum is revised and reviewed annually. Please check periodically for updates.
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Year 1
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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 program 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 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.
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.
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.
Commencing September 2024 - indicative content, may be subject to change. 8 modules are compulsory for all students and must be successfully completed by the end of the programme. They are: PD650; CS636; EE650; EE651; EE652; CS637; EE653; EE654 and EE690 (thesis module Year 3 only). Students who completed their undergraduate degree at Maynooth University will have already completed some of the other modules listed and cannot take them again. Please follow the registration instructions for your cohort: RID cohort: register for the 8 compulsory modules plus CS404; CS422 and one of CS417 or EE655. CS cohort: register for the 8 compulsory modules plus EE401 and EE655.
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RAIP6
- ROBOTICS AND EMBEDDED AI
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Credits: n/a
Compulsory: 
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Year 2
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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 program 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 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.
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.
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.
First Year 2 registrations September 2025 - indicative content, may be subject to change. 8 modules are compulsory for all students and must be successfully completed by the end of the programme. They are: PD650; CS636; EE650; EE651; EE652; CS637; EE653; EE654 and EE690 (thesis module Year 3 only). Students who completed their undergraduate degree at Maynooth University will have already completed some of the other modules listed and cannot take them again. Please follow the registration instructions for your cohort: RID cohort: register for the 8 compulsory modules plus CS404; CS422 and one of CS417 or EE655. CS cohort: register for the 8 compulsory modules plus EE401 and EE655.
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RAIP62
- ROBOTICS AND EMBEDDED AI
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Credits: n/a
Compulsory:
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Year 3
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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 program 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 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.
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.
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.
First Year 3 registrations September 2026 - indicative content, may be subject to change. 8 modules are compulsory for all students and must be successfully completed by the end of the programme. They are: PD650; CS636; EE650; EE651; EE652; CS637; EE653; EE654 and EE690 (thesis module Year 3 only). Students who completed their undergraduate degree at Maynooth University will have already completed some of the other modules listed and cannot take them again. Please follow the registration instructions for your cohort: RID cohort: register for the 8 compulsory modules plus CS404; CS422 and one of CS417 or EE655. CS cohort: register for the 8 compulsory modules plus EE401 and EE655.
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RAIP63
- ROBOTICS AND EMBEDDED AI
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Credits: n/a
Compulsory:
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ROBOTICS AND EMBEDDED AI
