The breadth of applied research methods and social analysis highlights the different pathways that data professionals can pursue. Students in the program can choose from five concentrations to hone their degree to a specific interest.
- The concentration in Data Analytics in the Social Sciences is designed to provide students with foundational knowledge in “big data” and data analytics, including data management, machine learning, data mining, statistics, and visualizing and communicating data. This knowledge can be applied to data-driven decision making in any discipline.
- The concentration in Computational Social Science focuses on how to collect, analyze, and interpret insights culled from applying computational analyses to Big Data in social science domains. Applied courses highlight the ways in which computational analysis can be used to develop policy and evaluate policy outcomes and results.
- The concentration in Network Analysis in the Social Sciences focuses on problem-solving in an interconnected world. Students work to discover and inspire fundamentally new ways to measure, model, predict, and visualize meaningful interactions and interconnectivity of social, physical, and technological systems.
- The concentration in Statistical Methods in the Social Sciences studies the use of social science quantitative techniques, emphasizing applications of value to public-sector analysts and scholars alike. The focus is in generating and interpreting statistical analyses.
- The Information Ethics concentration encompasses the social and ethical issues associated with all forms and aspects of information and computing technologies; including data collection/use, artificial intelligence, machine learning, social networks, robotics, and more.
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