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Data Analytics

Analytics, driven by large amounts of data and computing resources, is recognized as a source of value and competitive advantage. Analyzing large data sets, including both structured and unstructured data—often referred to collectively as big data—is becoming a critical basis of competition, underpinning new waves of improved decision making and innovation.  Organizations around the world are struggling to develop the know-how to aggregate, analyze, and monetize the growing surge of available data. The new track – Data Science and Analytics – would provide a strong foundation in technology, statistics, and quantitative modeling that is needed to develop business intelligence and drive organizational decision-making.

For a full description please visit the department’s section on the Zicklin website.

Faculty Advisor: Prof. Yuanfeng Cai (