The program combines rigorous technical foundations with emerging modern applications. The Data and Decisions track prepares students in the fundamentals of data and decision sciences, machine learning, and artificial intelligence that are transforming operational and strategic decisionmaking in information technology, finance, healthcare, services, manufacturing, and government. Through electives, students can explore topics such as experimental design, algorithmic economics, and machine learning. The core coursework covers fundamental statistical concepts, large-scale computation, and network analysis. The program prepares students for a diverse set of career paths in data science, information technology, and policy analysis. The Computational Social Science track teaches students how to apply rigorous statistical and computational methods to address problems in economics, sociology, political science, and beyond.
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