PhD in Statistics in Durham United States | University of New Hampshire

Our Ph.D. program in statistics equips you with profound theoretical and computational expertise in statistical methods that power data analysis and predictive modeling. You'll collaborate directly with faculty to pursue innovative research in your selected specialization. Our department focuses on diverse areas including Bayesian statistics, causal inference, big data analytics, epigenomic statistics, experimental design innovation, environmental statistics, high-dimensional data analysis, machine learning, network analysis, nonparametric estimation, spatial statistics, and time series analysis. The program features adaptable coursework and research opportunities that foster interdisciplinary exploration, tailored to connect your academic passions with our faculty's specialized knowledge.

The statistics Ph.D. curriculum offers a customizable blend of studies and research, aligning faculty specializations with student objectives. Faculty strengths encompass Experimental Design, Nonparametric Estimation, Model Selection, Time Series, Spatial Statistics, Bayesian Methods, and Big Data Analytics. Dissertation topics span from pure theory to practical applications, with strong emphasis on cross-disciplinary projects. Doctoral candidates often participate as research assistants in interdisciplinary initiatives while gaining experience through statistical consulting roles.