Overview
The master’s degree in mathematics is designed to prepare students for careers in practical problem solving and mathematical modeling through collaboration with other professionals such as chemists and materials scientists. These mathematicians work in many areas of business and industry including engineering, defense, research and development and other STEM-related fields.
Active research areas include: boundary integral methods, mathematical biology, optimization problems in reservoir engineering, bioinformatics, numerical solution of differential and partial differential equations, and statistical methods in brain imaging. The university’s internationally reputed program in computer security provides outstanding opportunities for interdisciplinary research.
Professional Opportunities
The Master of Science in Applied Mathematics is a professional degree designed to prepare students for work in a variety of areas, including business and industry. Program graduates are proficient in the use of modern analytic and computational tools and have experience in modeling and solving problems of a practical nature.
The doctoral program in mathematics has an interdisciplinary focus providing students with in-depth knowledge in a chosen field of mathematics, opportunities to expand this specialization into other scientific and applied disciplines, and preparation suited for careers in academia, government or the private sector.
Fast Facts
The faculty and graduate students moved into newly remodeled offices in 2016.
The Department of Mathematics graduated its first Ph.D. student in 2017.
In addition to applied mathematics and statistics, current graduate students also pursue interdisciplinary studies and research in such varied fields as mathematical physics, bioinformatics and biomathematics, computer security, neuroimaging and finance. Several students are currently involved in collaborative research projects with neuroscientists at the Laureate Institute for Brain Research in Tulsa.
Advanced TU undergraduate students may apply for admission to the accelerated master’s program prior to their senior year and complete the B.S. and M.S degrees within five years.
Faculty
Christian Constanda, Ph.D., Romanian Academy of the Sciences, D.Sc., University of Strathclyde, Charles Oliphant Endowed Chair of Mathematical Sciences, Integral Boundary Methods, Partial Differential Equations
Peyton Cook, Ph.D., Oklahoma State University, Statistics, Bayesian Analysis, Financial Applications
Nicholas Cox-Steib, Ph.D., University of Missouri, Columbia, Commutative Algebra, Algebraic Geometry, Positive Characteristic Methods, Number Theory
Matthew Donahue, Ph.D., Florida State University, Mathematical Biology, Fluid Dynamics, Mathematical Modeling
Dale R. Doty, Ph.D., Michigan State University, Numerical Analysis, Numerical PDE’s, Integral Boundary Methods
Brett McKinney, Ph.D., Physics, University of Oklahoma; William K. Warren, Jr., Professor of Bioinformatics; Machine Learning, Bioinformatics, Theoretical Physics
Kevin A. O’Neil, Ph.D., University of Illinois, Vortex Dynamics, Celestial Mechanics, Robotics Control
Shirley B. Pomeranz, Ph.D., University of Massachusetts, Amherst, Finite Element Methods, Boundary Element Methods, Numerical Analysis
Richard A. Redner, Ph.D., University of Houston, Optimization Theory, Applications of Splines, Statistics, Data Science
Dale A. Schoenefeld, Ph.D., University of Iowa, Combinatorial Optimization, Computer Graphics, Computer Networks