Technology Integration in Project Manage

Technology Integration in Project Management explores the real-world adoption of digital transformation within complex project environments, moving beyond theoretical frameworks to provide a fully immersive and experiential learning environment. The course is uniquely structured as Scrum sprints, where students operate within standard agile events, roles, and artifacts to analyze and compare industry-leading Project Management Information Systems (PMIS). We will also explore waterfall and/or hybrid approaches throughout the course. Students will gain hands-on proficiency in platforms such as Jira, Asana, Smartsheet, and Trello, while simultaneously integrating data analytics tools like Power BI to monitor performance and enhance decision-making accuracy in Project, Program and Portfolio Management. As an elective within the Master of Science in Project Management program, this course is designed for practitioners who wish to lead digitally driven organizations with efficiency and innovation. It serves a critical programmatic goal by bridging the gap between foundational project management methodologies and the high-tech execution required in the modern workforce. Another distinctive feature of this course is the mandatory and continuous evaluation of Artificial Intelligence (AI) technologies; students are required to leverage generative AI and automation tools to streamline project delivery, simulating the real-world evolution of value delivery. The course is a three-credit, full-semester elective delivered in an in-person modality. While tailored for Project Management students, it is open to cross-registrants from other Columbia University graduate programs, provided space is available. There are no formal prerequisites; however, students are expected to have a basic understanding of project lifecycles and a willingness to engage in an open and collaborative environment where rapid and iterative technical learning occurs. All technology platforms required for the sprint cycles will be accessible through university licenses or open-access academic versions.