The development and deployment of robotic as well as smart manufacturing technologies have become very important for a significant number of industrial sectors in Ireland and the rest of the world, including biomedical, pharmaceutical, agricultural as well as electronics manufacturing companies.
The main barrier towards implementing modern, smart automation technologies in standard manufacturing practices is the lack of skills of automation experts in the areas of robotics and digital manufacturing. In Ireland, this is manifested in the difficulty Irish robotic and system integration companies have in recruiting engineers who can be readily involved in today’s complex automation cell and line building projects. This is also reflected on the average salary of automation experts, which is among the highest in the country. The main goal of this programme is to produce experts with sufficient scientific and practical skills in the areas of robotics and smart manufacturing.
This programme is delivered by a highly research-intensive school, which is in the top 150 in the QS world subject rankings. An example of this research activity is the coordination of the 2.23-million-euro Horizon Europe iCircular3 Marie Skłodowska-Curie Actions project, with one of its main research goals being to take advantage of circular economy principles for improving the efficiency as well as for extending the lifecycle of industrial robots.
Engineering at UCD is highly attractive to students due to the exposure to world leading researchers and the significant career prospects.
The programme is a full-time, one-year 90 credit masters. Overall, the programme offers:
60 credits of focused technology and engineering management taught modules, and a 30 credit Applied Robotics Research Project in collaboration with leading engineering and manufacturing companies in Ireland. A number of modules are expected to include live presentations, which will be delivered by Irish and European industrial experts in the areas of robotics and automation.
Core: Introduction to Robotics, Supply Chain Design and Analysis, Engineering Project Management, Data Analytics for Engineers Options: Control Theory, Biosensors & Actuators, Machine Learning for Engineers, Entrepreneurship in Engineering, Manufacturing Engineering II
Core: Operations Management, Engineering Decision Support Systems, Robotic Applications, Industrial Automation Options: Data Science in Python, Digital & Embedded Systems, Advanced Metal Processing, Advanced Polymer Engineering, Technical Communications
Core: Applied Robotics Research Project
A primary degree in engineering, science or information technology combined with a minimum of five years relevant professional experience. However, all applicants will be assessed on a case-by-case basis so that in certain exceptional cases applicants who do not have the relevant qualification may be considered.