Queen's University Belfast · Full-time
Data Science and Artificial Intelligence
Artificial Intelligence and data-driven decision-making are transforming how businesses, governments, and societies function, from automating medical diagnostics to optimising financial systems and improving sustainability efforts. As AI adoption accelerates,…
MSc1 yearFull-time
Browse computer science courses in UK
School of Electronics, Electrical Engineering and Computer Science · Computing
Artificial Intelligence and data-driven decision-making are transforming how businesses, governments, and societies function, from automating medical diagnostics to optimising financial systems and improving sustainability efforts. As AI adoption accelerates, the question is no longer if organisations should embrace these technologies, but how to do so effectively and ethically. Despite this momentum, there remains a significant skills gap. Employers urgently need professionals who not only understand the mechanics of AI and data science but can apply them responsibly to real-world problems. The demand spans every sector: healthcare, finance, public policy, climate, and beyond. This MSc is designed to meet that need. It produces graduates with the technical fluency, critical thinking, and ethical awareness required to lead in this fast-moving landscape. The MSc in Data Science and Artificial Intelligence at Queen’s University Belfast is designed to prepare students to build intelligent systems that make sense of data, automate tasks, and support decision-making in complex environments.
Getting in
As the university states it
Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mechanical Engineering, Mathematics with Computer Science, Physics with Computer Science, Mathematics or a related discipline. Applicants must normally have achieved 2:1 standard or above in relevant modules. Applicants who hold a 2.2 Honours degree and a Master’s degree (or equivalent qualifications acceptable to the University) in one of the above disciplines will be considered on a case-by-case basis. All applicants will be expected to have very good mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification. Applications may be considered from those who do not meet the above requirements but can provide evidence of recent relevant technical experience in industry, for example, in programming, automation or robotics.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.