MSc AI in Business

1 Year On Campus Masters Program

Queens University Belfast

Program Overview

he MSc AI in Business at Queen's University Belfast trains students to combine artificial-intelligence, data analytics and business strategy, equipping them to use AI-driven insights to solve real business problems and drive innovation. It suits graduates from any discipline who want to gain cutting-edge AI skills alongside business understanding, preparing them for roles at the intersection of technology and management.

Curriculum structure

In the taught phase, students engage with core modules including Artificial Intelligence in Business and Society, Generative AI & Business Intelligence, Strategy, Change & Analytics, and Design Thinking with AI. In these, they learn the fundamentals of AI and machine learning, how to apply AI tools for business analytics and intelligence, and how to integrate AI-driven decision-making and innovation into organisational strategy and change management. Moving forward, advanced topics like AI Frontiers, Technology for Good, and AI Entrepreneurship and Consulting explore cutting-edge developments, ethical implications, and real-world AI deployment in business settings.

Focus areas:
“machine learning, generative AI, business analytics, strategic change, AI-driven innovation, ethical AI, design thinking with AI”

Learning outcomes:
“apply AI and data analytics to business challenges; design AI-enabled business strategies; evaluate ethical and societal implications of AI; lead AI-driven innovation or change; deliver integrated AI-business projects.”

Professional alignment (accreditation):
Geared to meet growing demand for professionals who can merge business acumen with AI and analytics — suitable for roles such as business-intelligence analyst, AI consultant, strategic innovation manager, and data-driven decision-maker in organisations embracing AI transformation.

Reputation (employability rankings):
As a new and applied programme at a top UK university, the MSc AI in Business offers a unique interdisciplinary profile that is increasingly sought after in a data-driven global economy, giving graduates a competitive edge in business, consultancy, and tech-enabled sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills by applying AI and data analytics to real-world business problems, using the University's computing facilities and engaging with industry case studies and datasets. This applied learning is central to the curriculum:

Software: Training in Python, R, and SQL with key AI and analytics libraries (Scikit-learn, TensorFlow, Pandas).
Business Analytics Projects: Hands-on analysis of real business datasets for decision support and strategy.
Research Project: An individual dissertation focusing on AI applications in a business context.
Facilities: Access to Queen's computing labs and data analytics resources.
Industry Links: Curriculum informed by the William J. Clinton Leadership Institute and industry partnerships.

Progression & Future Opportunities

Graduates of Queen's University Belfast's MSc AI in Business programme acquire advanced skills in machine learning, data science and analytics, generative AI, design thinking, and ethical AI applications anchored in strategic business contexts. This course emphasizes real-world application through case studies, applied projects, and a capstone integrating AI with business strategy to solve organisational or societal challenges. Alumni are prepared for impactful roles such as Business Transformation Consultant, Customer Insights Specialist, Strategic Innovation Advisor, and Business Intelligence Analyst, leveraging AI to drive efficiency and growth.

University services: Comprehensive careers support includes CV workshops, mock interviews, job fairs, employer insights, alumni networking, LinkedIn workshops, and dedicated employability modules.
Employment stats/salary: High demand in AI-driven business roles; typical starting salary ranges £35,000–£50,000 with strong growth prospects.
University–industry partnerships: Engagement through capstone consultancy projects, internship placements, and guest lectures connecting students with global business and tech firms.
Long-term accreditation value: Prestigious Queen’s Business School provides global recognition combined with expertise in AI and ethical business innovation.
Graduation outcomes: Careers in AI-powered business transformation, strategy, innovation consultancy, and leadership roles.

Further Academic Progression: Graduates may pursue PhD research in AI ethics, data analytics, or business innovation at Queen’s University Belfast, building on in-depth capstone research and industry collaborations.