28 Part-time Master's in Computer Sciences in Ireland

Computing in Games and Extended Reality is offered by Dundalk Institute of Technology. The online flexible mode of delivery allows you to study at times that suit your schedule, from any location (with internet access).

The Cybersecurity programme at the University College Dublin is designed to prepare IT professionals for a managerial or technical career in cybersecurity. Programme delivery is designed to facilitate professional learners through flexible blended study options with online lectures complemented by occasional full-day workshops on campus.

The Masters in Science in Computing programme at CCT College Dublin is designed for IT graduates, or IT professionals, seeking to strengthen their discipline knowledge and skills to enhance their employability and support career progression.

The Computer Science (Artificial Intelligence and Machine Learning) course from Data Science Institute is a programme that develops advanced skills in AI development and deployment.

Computing in Medical Device Software Engineering is offered by Dundalk Institute of Technology. The aim of this programme is to produce graduates with an advanced level of theoretical knowledge and practice, innovation and management skills to enable their professional development in both the IT industry but in particular within the healthcare software industry.

E-learning Design and Development from Munster Technological University reflects a special orientation towards, variously, creativity, culture and design, rather than technology per se.

The Forensic Computing and Cybercrime Investigation M.Sc. at University College Dublin is a specialist programme for law enforcement. Delivered online over one or two years, this public study mode course provides advanced training in digital forensics and modern investigative tactics to tackle emerging global cybercrime.

The Computer Science (Artificial Intelligence and Machine Learning) course from Data Science Institute is a programme designed to develop deep technical expertise in AI and ML across key domains such as NLP, computer vision, deep learning, and MLOps.