Queen's University Belfast campus

Business

MSc AI in Business at Queen's University Belfast

Queen's University Belfast, United Kingdom

Programme overview

The MSc AI in Business is a one-year full-time postgraduate course for graduates of any discipline. It combines machine learning, data science and analytics, generative AI, design thinking and ethical considerations with business modules on strategy, innovation and decision-making.

Faculty: Queen's Business School  |  Duration: 1 year full-time  |  Intake: September 2027  |  Study mode: full-time  |  Location: Belfast, Northern Ireland, United Kingdom

What you will study

Core modules include Artificial Intelligence in Business and Society, Strategy, Change and Analytics, Generative AI and Business Intelligence, Design Thinking with AI, Technology for Good, AI Entrepreneurship and Consulting, AI Frontiers and a 60-credit AI in Business Capstone (consultancy, analytical problem-solving or internship pathway). Optional modules include Marketing Analytics, Making Ethical Business Decisions and Emerging Technologies for Business.

Career pathways

Graduates move into roles such as Business Transformation Consultant, Customer Insights Specialist, Strategic Innovation Advisor and Business Intelligence Analyst.

Official programme page

Application information

Entry requirements

Normally a strong 2.2 honours degree or equivalent in any discipline; previous managerial work experience may be considered alongside lower academic qualifications. Apply ideally by 13 August 2027 for late September entry. International applicants pay a deposit (currently £1,000) to secure a place. English language for international applicants: IELTS 6.0 overall with at least 5.5 in every component (taken within the last 2 years) or equivalent.

Domestic applicants: GBP 8,950 a year (2026/27). NI/ROI residency, full-time MSc; published 2026/27 rate Source

International applicants: GBP 26,500 a year (2026/27). International/EU Other, full-time MSc; published 2026/27 rate Source

Intake: September 2027

Duration: 1 year full-time

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