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Queen's University Belfast

Belfast, Northern Ireland, United Kingdom

MSc AI in Business

The MSc AI in Business programme is a full-time postgraduate course aimed at students with any undergraduate degree background. The curriculum covers essential areas of AI, including machine learning, data science and analytics, generative AI, design thinking, and ethical considerations, alongside business-oriented modules focused on strategy, innovation, and decision-making. This programme will prepare students to apply AI-driven solutions to challenging business problems, making them valuable in a wide range of industries where AI is transforming strategic approaches and enabling new business insights.
Designed with a focus on real-world application, the MSc AI in Business programme incorporates case studies and applied projects to address current challenges in AI and business integration. Through these projects, students gain practical experience and build competencies that are highly relevant in a data-driven economy.

As AI increasingly augments tasks rather than replaces jobs, this applied focus supports students’ professional development and prepares them for the growing need for a ‘future-ready’ workforce. The programme equips graduates with in-demand AI skills that improve productivity and career prospects, catering to the rising demand for AI capabilities in both tech and non-tech roles. In addition to technical skills, the curriculum emphasises skills such as strategic decision-making, problem-solving, and innovation, which are critical for navigating AI-driven business landscapes. Graduates of the programme will be well-positioned for roles such as Business Transformation Consultant, Customer Insights Specialist, Strategic Innovation Advisor, and Business Intelligence Analyst, where they can leverage AI to drive business efficiency, customer engagement, and strategic growth.

Intakes

  • Jan
  • Sep

Application Processing Time in Days: 30

Application Process

More Information Required
20 Days
Possible Interview Call from Institution
10 Days
Provisional/Unconditional Offer
10 Days
Visa Process
35 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

The programme provides a wide range of opportunities for graduates to work in roles such as Business Transformation Consultant, Strategic Innovation Advisor, Customer Insights Specialist, and Business Intelligence Analyst, among others. With skills in AI-driven solutions, strategic decision-making, and ethical AI applications, graduates will excel in diverse industries, driving innovation, efficiency, and growth in an AI-powered business environment.

PSW Opportunity

  • 2 Years PSW is applicable after completing a minimum duration of 9 months course (like- Undergraduate, Postgraduate Level)
  • 3 Years PSW is applicable after completing PhD level courses.

Admission Requirement / Eligibility Criteria

  • Normally a strong 2.2 honours degree or equivalent qualification acceptable to the University in any discipline.
  • We welcome applications from a diverse range of backgrounds so may consider previous managerial work experience alongside lower academic qualifications.

Applicants are advised to apply as early as possible and ideally no later than 14th August 2026 for courses which commence in late September. In the event that any programme receives a high number of applications, the University reserves the right to close the application portal prior to the deadline stated on course finder. Notifications to this effect will appear on the application portal against the programme application page.

Please note:  international applicants will be required to pay a deposit to secure a place on this course.

The University's Recognition of Prior Learning Policy provides guidance on the assessment of experiential learning (RPEL). Please visit the following link for more information: http://go.qub.ac.uk/RPLpolicyQUB

AICC funding: A limited number of fully funded places (provided by the Department for the Economy) are available for this programme for eligible applicants resident in Northern Ireland. Applicants are advised to apply as early as possible in order to be considered for a funded place. You will be notified as soon as possible whether your application has been selected for a funded place. If you have not been selected for a funded place, we will accept self-funded or employer-funded applicants, if spaces are available.
 

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