MBA - Artificial Intelligence and Machine Learning Leadership University of Canada West

Program Description

The Specialization in Artificial Intelligence and Machine Learning Leadership equips graduates with strategic, ethical, and innovative leadership skills to navigate the rapidly evolving AI landscape and apply the Artificial Intelligence principles in Business. This specialization combines business management principles with technical AI and machine learning concepts. Additionally, it familiarizes graduate students with the leadership dynamics such as change management, negotiation, and decision-making required for STEM professionals to successfully manage and lead Artificial Intelligence projects. Three courses: BUSI 654 – Application of AI in Business This course explores the applications of Artificial Intelligence (AI) in different business domains, including marketing, finance, strategy, operations, human resources, Equity, Diversity, Inclusion and Indigeneity (EDII), sustainability, and product development. Additionally, the course introduces AI tools and their practical applications across these domains. Prerequisites: Completion of 15 credits including BUSI 650. MGMT 654 – Leadership for Advanced Project Management This course combines project management principles with the complexities of AI and ML, focusing on defining project scope, scheduling, risk and cost management. It cultivates leadership skills tailored to the AI industry, emphasizing collaboration, interdisciplinary team leadership, and decision-making in unpredictable circumstances. The curriculum employs an applied learning approach, incorporating real-world case studies, hands-on projects, and professional insights for industry relevance. This course prepares students to successfully manage AI projects, serving as a key step in molding proficient AI and ML leaders. Prerequisite: Completion of 24 credits including MGMT 601. MGMT 656 – Leadership for STEM Professionals The course is designed to equip students with the skills and knowledge necessary to effectively lead and manage teams of technical professionals in the ever-evolving landscape of engineering, science, and technology. This course focuses on the unique challenges and opportunities faced by leaders in technical fields, emphasizing the development of leadership capabilities, effective communication, and strategic decision-making. Through case studies, practical exercises, and industry guest speakers, students will gain insights into the dynamics of technical teams, learn how to foster innovation and enhance their ability to drive organizational success in engineering, scientific, and technological contexts. Prerequisite: Completion of 24 credits including MGMT 601.

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