Carnegie Mellon Heinz College

Turning Data in to Better Policy | Data Analytics Master's at Carnegie Mellon

Carnegie Mellon’s MPPPM Data Analytics master’s frames data science as a tool for policy impact, blending technical training in machine learning, predictive analytics and causal inference with real-world, experiential projects. The program emphasizes applying analytics to messy, unstructured public-sector data to identify inequities and design interventions that change outcomes. It also teaches communication, organizational behavior and persuasion so graduates can translate technical insights into implementable policy decisions. The curriculum targets the intersection of AI expertise and public-sector needs, preparing students to guide governments and nonprofits on practical, equitable uses of technology.