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The Applied Statistics Ph.D. program is a rigorous research-focused curriculum tailored for students seeking advanced expertise in statistical methodologies to creatively tackle real-world challenges. This program equips learners with specialized techniques that cultivate professional excellence across various statistics-oriented careers, spanning academic institutions to research-intensive industries.
Faculty members in Applied Statistics mentor students exploring wide-ranging statistical domains such as linear modeling, data exploration and analytics, quality control processes, geospatial statistics, time-series analysis, computational statistics, distribution-free techniques, outlier identification, Bayesian approaches, and network data analysis.