PUBPOL 5972

Data Science and AI Policy Colloquium II

Course Description

Course information provided by the 2026-2027 Catalog.

The data colloquium is designed to provide Executive Master of Science in Data Science and Public Policy students with tools, as well as perspectives on leadership and general management, required to launch successful careers. This speaker series will expose students to the perspectives of senior professionals in the field of data science through interactive, case-based discussions.

Prerequisites PUBPOL 5971.

Enrollment Information Enrollment limited to: graduate and professional students.

Last 4 Terms Offered (None)

Learning Outcomes

• Demonstrate an understanding of how data science practitioners facilitate strategic change, both inside and outside of their organizations.
• Demonstrate an understanding of how data science practitioners lead people in meeting their organization’s mission.
• Demonstrate an understanding of how data science practitioners effectively design and meet organizational goals and ensure accountability to clients/beneficiaries.
• Demonstrate an understanding of how data science practitioners strategically allocate human, financial, and technological resources.
• Demonstrate an understanding of how data science build coalitions inside and outside of their organizations.

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