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Home AI and Machine Learning

SMU commits to building a pool of AI leaders through newly-launched Master's programme

FutureCIO Editors by FutureCIO Editors
February 13, 2026
Photo by Pixabay: https://www.pexels.com/photo/pile-of-covered-books-159751/

Photo by Pixabay: https://www.pexels.com/photo/pile-of-covered-books-159751/

Singapore Management University (SMU) has launched a new Master of Science in Business AI to develop AI-ready business leaders, armed with cross-functional business knowledge, strategy, and leadership.

Professor Sungjong Roh
Professor Sungjong Roh

"The real AI skills gap isn't merely technical—it's translational," said Professor Sungjong Roh, academic director of the Master of Science in Business AI at SMU. "While organisations may have access to AI tools, far fewer have leaders and executives who know how to work with them strategically, deploy them responsibly, and ensure they create value while effectively managing risk. This programme closes that critical gap."

Building AI-ready leaders

SMU's Master of Science in Business AI focuses on practical leadership and strategic application, and differentiates itself in three key ways:

  • Integrated Interdisciplinarity: The program aims to teach students how to combine business strategy, decision intelligence, AI capabilities, and ethics. This approach enables them to work effectively at the intersection of senior leadership and technical teams.
  • Practice-Oriented and Interactive Learning: Courses such as “Human–AI Collaboration”, “Data Storytelling and AI-Augmented Influencing”, “Change Management for Disruptive AI”, and “Innovations and Operations in Intelligent Online Marketplaces” will be taught using interactive, seminar-style methods. This format promotes deeper engagement, peer learning, and close integration with industry practices.
  • Strong Alignment with National and Industry Needs: The program directly supports Singapore's SkillsFuture andSmart Nation initiatives by developing skills in Business Intelligence, AI-enabled decision-making, and responsible AI governance.
Related:  80% of executives think AI can be applied to any business
Tags: AI-ready leadersartificial inteligenceleadershipSMU
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