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Mathematics Department

Graduate Curriculum

The Mathematics Department does not offer a formal graduate curriculum. Rather, it supports the mathematics component of graduate study housed in several closely related departments.

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• Directory of current graduate students.

 Computational Operations Research

Recognizing the important overlap between computer science and operations research, the College redesigned its operations research curriculum in 1999 to offer a M.S. with a specialization in Computational Operations Research (COR) administered by the Computer Science Department in cooperation with the Department of Mathematics. Qualified students may elect to continue graduate work in operations research leading to a Ph.D. in either the Computer Science Department (with a computational emphasis) or the Applied Science Department (with an applied mathematics and modeling emphasis). These opportunities are facilitated by the participation of the departments of Mathematics, Computer Science, and Applied Science in the Computational Science Cluster, a federation of departments and schools at William & Mary committed to fostering research and education in computational science.

 

A wide range of courses are taught by COR faculty in the Department of Mathematics and the Department of Computer Science. Course offerings include linear programming, discrete optimization, nonlinear programming, deterministic and stochastic models, statistical decision theory, reliability, analysis of algorithms, discrete-event simulation, simulation languages, and a full range of computer science courses. Qualified students can normally fulfill the M.S. requirements in three semesters. The small size of graduate classes permits close faculty-student interaction.

 

Matrix and Operator Theory

The Mathematics Department has a high concentration of active researchers in matrix and operator theory. Graduate students can pursue Ph.D. degree in these areas under the Applied Mathematics and Modelling Program in the Applied Science Department. Interdisplinary research projects are also welcome.