COURSE CURRICULUM

Smith’s Master of Management in Artificial Intelligence (MMAI) curriculum combines lectures, seminars, experiential learning, team assignments, projects, presentations, and real-world problem-solving to provide a comprehensive and applied AI education. Students begin with foundational courses such as Introduction to Management, High-Performance Teams, and Mathematics for Artificial Intelligence to develop essential managerial and quantitative skills. Core technical courses include Machine Learning and AI Technology, Deep Learning, Natural Language Processing, Analytical Decision Making, and Reinforcement Learning and Application, equipping students with advanced AI knowledge and hands-on experience in applying algorithms to complex problems. The curriculum also emphasizes practical and strategic applications of AI in organizational contexts through courses such as AI in Marketing, AI in Finance, AI Innovation & Entrepreneurship, and Agile Project Management for AI. Ethical and societal considerations are addressed in AI Ethics and Policy, while leadership and organizational change are explored in Leading Change. The program culminates in an AI Capstone Project, allowing students to integrate their learning by solving a real-world AI challenge, often in collaboration with industry partners. Through this blend of technical, managerial, and strategic training, the MMAI curriculum prepares graduates to implement AI solutions effectively, make data-driven decisions, and lead innovation initiatives across sectors.