The purpose of Statistics and Data Science is to design, construct, and evaluate techniques for analyzing data. The data can be of any type — qualitative, quantitative, visual — and be collected through a variety of means through sensors, machines, self-reports, or random samples for scientific, commercial, legal, or policy purposes.
The Department of Statistics and Data Science is devoted to furthering the science of data, and faculty research focuses on statistical and machine learning, computational statistics, computational biology, social statistics, and environmetrics. Both the undergraduate and graduate programs immerse students in theory, application and computation — the foundations of data science.
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