PhD in Applied Mathematics and Statistics in Stony Brook United States | Stony Brook University, SUNY

The Department of Applied Mathematics and Statistics, part of the College of Engineering and Applied Sciences, provides graduate programs in computational applied mathematics, operations research, quantitative finance, statistics, and computational biology, awarding both M.S. and Ph.D. degrees. Students engage in a comprehensive curriculum featuring specialized courses, seminars, guided independent study, and dedicated research resources. The focus lies on tackling practical challenges, computational simulations, and creating essential analytical frameworks. A cutting-edge computational lab supports student learning and investigations, including connections to university high-performance computing systems. This facility houses advanced Unix workstations and contemporary printing equipment, with full-time personnel assisting students in utilizing these resources. Collaborative research opportunities exist with 5 national labs, multiple industry partners, and diverse science, biomedical, and engineering initiatives. Graduates gain versatile skills, positioning them well for mathematics-focused roles in government and private sectors. Faculty-led research projects, backed by substantial external funding, allow students to contribute across all departmental specialties. Research areas span applied graph theory, biostatistics, computational biology, drug discovery modeling, fluid dynamics simulations, optimization techniques, statistical computing, data interpretation, porous media flow, material fracture analysis, inverse problem solving, boundary value challenges, nonlinear conservation principles, financial modeling, reliability assessment, risk analysis, robust statistical methods, nonparametric approaches, stochastic systems, decision theory, and pharmaceutical design. Doctoral candidates typically receive financial support via teaching or research assistantships.