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The Department of Statistics and Applied Probability provides a doctoral program where students gain comprehensive knowledge in both theoretical and applied aspects of probability and statistics. (Details regarding the MA and BS/MS programs can be found on separate pages.)
This Ph.D. curriculum equips students to undertake groundbreaking research, starting with rigorous coursework and progressing toward unique dissertation projects. Research focuses span stochastic modeling, data science, and machine learning, encompassing varied fields like financial mathematics, large-scale data analysis, computational techniques, AI, biostatistics, and algorithmic probability foundations. The program fosters cross-disciplinary partnerships with fields including computer science, environmental studies, physics, mathematics, life sciences, engineering, and financial sectors.