Our Master of Science in Computing in Big Data Analytics is a one year, full-time or two year, part-time programme. View course

Our Master of Science in Computing in Big Data Analytics and Artificial Intelligence is a one year, full-time or two year, part-time programme. View course

Our Master of Science in Computing in Cloud Technologies will augment your existing skills and knowledge to position you for a successful and rewarding career in Cloud Technologies. View course

Our Master of Science in Computing in DevOps may be taken as a one year, full-time (normally on-campus) or two year, part-time (normally online) programme. View course

This one-year MSc degree focuses on how animal behaviour can be applied to wildlife conservation. View course

The MSc in Cyberpsychology at ATU Donegal offers a deep understanding of the intersection between psychology and technology. View course

The Certificate in Computing is an online-preparatory programme which is taken remotely in June and July. View course

Digital innovation is transforming sports business, participation and performance. View course

Given the complexity and budgetary constraints of modern healthcare, there is a clear need to provide modern knowledge-driven infrastructure to support the healthcare sector. View course

The CIPD accredited MSc in Human Resource Management & Employee Relations programme is available for students to study full-time over 1 year or part time over 2 years. View course

This is a full-time taught programme designed to provide graduates working in sport science, fitness and healthcare professions with in-depth… View course

This programme has been designed to produce a rounded business graduate who will be able to undertake a variety of roles in an organisation, and… View course

Strength and conditioning is the application of scientific principles in order to understand and enhance sport and exercise performance and health and well-being. View course

Supply chain analytics is used to identify current and predict future risks by spotting patterns and trends throughout the supply chain. View course