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Computational Science and Statistics Ph.D.

The focus of Computational Science and Statistics (CSS) Ph.D. Program is the development of sophisticated mathematical and statistical models and their implementation on high performance computing platforms. The program is research intensive. Coursework requirements are flexible, allowing a program of study to be designed to support research activity in a wide variety of areas. Current areas of faculty and graduate student research activity include bioinformatics, biostatistics, business and financial analytics, computational biology, computational finance, molecular dynamics simulation, optimization and statistics. The program is particularly effective at preparing graduates to work in business, industry or government as well as the more traditional area of higher education.


The CSS Ph.D. Program offers three Specializations.

Assistantships and Fellowships

Many graduate research and teaching assistantships and fellowships are available on a competitive basis, though applicants should note that admission to the CSS Ph.D. Program does not guarantee that an assistantship or fellowship will be awarded.

CSS Ph.D. Admission Requirements

A Masters degree is required, with the M.S. in mathematics or statistics being the preferred degrees. Applicants with an M.S. in computer science, the biological sciences, economics or finance are also eligible for admission assuming that evidence of M.S.-level mathematics capability is available. The application deadline is December 15. (Due to the structure of our first-year courses, applicants will typically only be considered for the Fall semester.)

More Information:

For more information, please contact the graduate program coordinator: