Graduate: PhD Program

The PhD Program

This program is being discontinued pending SACSCOC approval and is not accepting applications for admission. The University is still authorized to offer the program and issue the associated credential for students who are currently enrolled in the program.

In 2008, UNCG became the only university in the North Carolina system to offer a PhD in Computational Mathematics.  Following the advent of the computer, computational mathematics has emerged as an exciting and rapidly growing area mathematical sciences.

Our Computational Mathematics program combines the beauty of mathematics and statistics with the power of modern computing.

Our department has a diverse faculty who are actively engaged in world-class research in mathematics and statistics. Major areas of research include Combinatorics, Control Theory, Differential Equations, Geometric Group Theory, Mathematical Biology, Number Theory, Numerical Analysis, Topological Data Analysis, Experimental Design in Statistics, Nonparametric and Robust Methods, Sampling, Spatial Statistics, and Statistical Genetics.
Program Overview : The PhD program is a 48 semester-hour program designed for students who hold a bachelor’s or master’s degree in mathematics, statistics, or a closely related area.  Students must include 18-21 hours of dissertation (MAT 799) in the required hours.  This challenging and rigorous program culminates in the defense of an original dissertation that is suitable for publication in a refereed journal.  Upon completion of this degree the successful student will be capable of producing new results in their chosen area of research.
*Students can strengthen their degree by concurrently earning an MS in applied statistics or a doctoral minor in statistics.

SLO 1: Broad Understanding

Students demonstrate broad understanding by reproducing results and definitions at the introductory Ph.D. level.

SLO 2: In Depth Study

Students discover new results and defend these results in a specific area of computational mathematics that goes beyond the introductory PhD level.

SLO 3: Synthesis and Written Communication

Students combine their knowledge from graduate course work, individual readings, and their own original research and communicate this research and its significance in writing.

SLO 4: Oral Communication

Students defend their research findings orally.

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