MSc in Computational Analysis and Public Policy in Chicago United States | University of Chicago

In today's data-centric society, public policy has followed suit by embracing data-driven approaches. The growing role of data science and technology in governmental processes has created demand for professionals skilled in ethically applying computational methods to policy challenges. The University of Chicago's intensive two-year Master of Science in Computational Analysis and Public Policy (MSCAPP) program, a pioneering initiative in this field, is collaboratively administered by the Harris School of Public Policy and the Department of Computer Science. MSCAPP equips students with the technical expertise and analytical acumen needed to address pressing social issues through cutting-edge technological solutions.

The UChicago MSCAPP curriculum begins with core courses establishing essential competencies in computer science, statistical analysis, and policy evaluation. Students subsequently pursue specialized studies in areas including econometric modeling, artificial intelligence techniques, large-scale data processing, information visualization, and software engineering—all while developing practical applications for policy implementation.