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Computational Social Science

This minor introduces and develops the essential skills for employing mathematical, formal, and computational methods in the social sciences. Students completing this minor will have a grasp of the fundamentals necessary for pursuing more in-depth studies in the emerging fields of computational social science and big data. The foundational courses emphasize skills in probability, statistics, and introductory programming. Other courses focus on the application of formal and computational methods in the social sciences including digital analysis of texts, maps, and networks. An additional elective provides breadth in social scientific studies of computation or the foundational principles of logic and computation.

See minor requirements here.

Digital Methods in the Humanities

This minor introduces students to the fundamentals of digital humanities. Students completing this minor will learn about digital technologies that have changed the ways people study, teach, and research in the humanities. Coursework for this minor includes cutting-edge methods such as digitizing texts, text mining, mapping, and network analysis. This minor will help students step into an evolving field focused on collaborative and interdisciplinary research.

See minor requirements here.