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Graduate study options cover all specialization areas represented by our faculty, which currently exceeds one hundred members. These professors come from fourteen departments across the College of Engineering, College of Arts and Sciences, College of Agriculture and Life Sciences, and the Samuel Curtis Johnson Graduate School of Management. Students can further broaden their education through minor subject selections. The Applied Mathematics program admits graduate students from diverse academic backgrounds with strong mathematical foundations, typically considering only those pursuing a Doctor of Philosophy degree. Approximately forty students participate in this four-to-five-year program.
Statistics forms the foundation of data science. Through estimation techniques, we extract knowledge from information. Measuring, managing, and characterizing uncertainty enables inference, modeling, and decision-making processes vital to both theoretical and applied sciences. Statistical analysis and quantitative reasoning have become pervasive, with big data revolutionizing our research approaches and world perspectives. CAM's statistical research encompasses mathematical statistics, computational statistics, machine learning, and specialized methodologies for fields including astrophysics, ecology, economics, emergency medicine, finance, genomics, high-dimensional data analysis, neurobiology, risk assessment, and spatio-temporal data.