Master of Public Policy- Computational Public Policy in Stanford United States | Stanford University

The Computational Public Policy concentration equips students with expertise in computer science, data analytics, and advanced statistical methods alongside policy evaluation. This program emphasizes (while not being limited to) applying quantitative approaches to policy challenges across diverse fields. Since policy analysis intersects with technical aspects of various disciplines, multiple schools and departments university-wide provide qualifying courses. The unifying element typically involves significant application of machine learning, AI, and statistical methods as analytical tools for policy. Recommended courses should build competencies essential for contemporary, data-driven policy assessment. Students selecting these courses should evaluate both their interest in the subject area and the methodological content. Most suggested courses require concentrators to possess strong foundational knowledge in mathematics, statistics, and computational methods.