Course Summary
The MSc in Applied AI is a flexible, industry-facing postgraduate programme designed to help learners confidently apply artificial intelligence to real organisational problems rather than focusing on theory alone. It develops practical capability across areas such as data-driven decision-making, and generative AI, automation and analytics. Learners build competence in selecting appropriate tools, evaluating impact and risk, and deploying AI responsibly, with a strong emphasis on ethical practice, governance, and real-world implementation. The course is typically suited to professionals and graduates who want to lead or contribute to AI adoption within their teams.
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Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
Candidates must hold a cognate level 8 Bachelor (Honours) degree with a minimum grade classification of H2.2 or equivalent or an equivalent qualification in Computing, Science, Engineering, Business, Finance or Mathematics or any associated discipline. Candidates who do not meet the H2.2 performance standard in a Level 8 award will be required to pass a qualifying assignment at a H2.2 performance standard as established by the Programme Board for the programme in question and as approved by the Registrar. Candidates who do not have an Honours degree but have significant relevant experience may also be eligible for consideration via Recognition of Prior Learning (RPL). Candidates may also seek to combine other qualifications and experiential learning to meet the entry requirements.
Application Details
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.