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 (email@example.com)