11 AI and Machine Learning Masters Degree Programs in Ireland

This programme’s aim is to develop graduates with skills in artificial intelligence, with a focus on business use cases of this technology. Recognising the increasing value of artificially intelligent models to organisations, graduates of this programme will be versed in the technologies, processes, and socio-ethical considerations of artificial intelligence as applied in business contexts.

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 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.

DCU’s European Master in Law, Data and AI (EMILDAI) addresses the legal, technical, and ethical challenges of digitisation. This programme equips you with the expertise to legally, ethically, and safely process data, especially when using AI systems—skills highly valued by businesses and public institutions.

This programme’s aim is to develop graduates with skills in artificial intelligence, with a focus on business use cases of this technology. Recognising the increasing value of artificially intelligent models to organisations, graduates of this programme will be versed in the technologies, processes, and socio-ethical considerations of artificial intelligence as applied in business contexts. In the third and final semester during the summer, students will complete a substantive project and dissertation document.

Artificial Intelligence (AI) is one of the most exciting areas in computer science and engineering. AI and Machine Learning (ML) address the challenge of creating machines having the capability to learn, adapt and exhibit intelligence. AI research is revolutionising our lives and leading us to a world with self-driving cars, automated trading on stock markets, AI-assisted surgery, AI-controlled power grids, smartphones that can recognize objects / faces / speech, search engines that can translate languages, video games that exhibit responsive, adaptive and intelligent behavior.

The MSc in Machine Learning for Finance is a unique, interdisciplinary program which blends applied, practical financial theory with an advanced technical skillset derived from computer science.

The overall goal of the MSc in AI for Business is to produce high-quality, technically competent, and innovative graduates with essential knowledge to understand the impacts, design, application, and operationalisation of AI solutions in business contexts. The MSc in AI for Business contains modules that aim to provide learners with high level of AI knowledge, understanding the impacts of human factors and engagement in AI, and understanding the operationalisation and application of AI. The programme also includes a final supervised research project whose theme requires the formulation of a business strategy that could be applied in industry. Through the supervised projects, the learners will be able to perform independent research that puts them into a position to make informed and critical decisions regarding the use of AI technologies in a business context.

This course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of artificial intelligence. The MSc in AI contains modules covering fundamental and specialised AI topics, as well as topics related to operationalisation and application of AI to solve real-world problems. All students will gain a deeper understanding of the complete development lifecycle of AI software applications from requirements elicitation and analysis, implementation, decision making, evaluation, and documentation.

The specialization introduces artificial intelligence’s philosophical, scientific, cultural, and political challenges. Beginning with the logical and cybernetic foundations of the project of automated cognition, courses introduce AI problematics from a transdisciplinary perspective, from the philosophical foundations of scientific modelling of thinking to psychoanalysis and the biopolitics of algorithms.

The program is a Level 9, Master of Science in Applied Artificial Intelligence with an exit award of a Postgraduate Diploma in Applied Artificial Intelligence. The program has been proposed, designed, and developed to meet the current and expected growth, both nationally and internationally, in Artificial Intelligence