General information
The Master of Business Analytics and Artificial Intelligence (MBAI) is a professional degree program that provides students with a theoretical knowledge base and practical experience working with data and people in decision making. The content of the degree will cover three main domains: applications of artificial intelligence (AI), business analytics and management opportunities. The program provides students with multiple perspectives about business analytics and artificial intelligence, ranging from ethical and managerial-level understanding of implications to practical applications of programming business analytics and AI solutions. Graduates of the MBAI can find highly successful careers in a variety of business analytics roles in private and public sectors where data is used to make decisions.
In addition, students in the MBAI program can pursue one of three fields:
- AI Governance
- Supply Chain
- Entrepreneurship
The AI Governance field equips students to build and evaluate advanced analytics and AI solutions while critically assessing their strategic value, reliability, and technical foundations. It also prepares graduates to analyze governance frameworks, assess regulatory and ethical implications, and lead responsibly in technology-driven environments, ensuring trustworthy and accountable use of data and AI.
The Supply Chain field prepares students to design data-driven analytics solutions, evaluate machine learning and AI models, and integrate high-quality data from diverse sources to improve operational and strategic decision-making across supply chain contexts. It also develops the ability to assess model implications, compare analytical methodologies, and manage the full lifecycle of analytics projects to optimize supply chain performance and resilience.
The Entrepreneurship field equips students to design data-driven solutions, assess AI and analytics models, and integrate high-quality data to support innovation in new and growing ventures. It emphasizes the ability to translate complex analytical insights into compelling narratives for investors, customers, and strategic partners. Students also learn to evaluate ethical, strategic, and operational implications of analytical models and manage the full lifecycle of data-driven initiatives within entrepreneurial environments.
A current list of graduate faculty is available on the Faculty of Business and Information Technology’s website.