What does it mean to have a career in actuarial science?
Wright State’s Department of Mathematics and Statistics offers undergraduate and graduate degree programs that can help you get to where you want to go.
The Bachelor of Science in mathematics program offers three concentrations: pure mathematics, applied mathematics, and mathematics education. These three programs, as well as the Bachelor of Science in Statistics program, are adaptable to many of your potential postgraduate goals, from various scientific or professional careers to graduate school. The Bachelor of Arts program provides a broad background in mathematics with a liberal arts orientation.
Wright State’s dual degree programs in applied mathematics, applied statistics, and mathematics allow you to earn both your B.S. and M.S. degrees in less time than the traditional degree path. Of course, you can enroll in any of the three master’s degree programs even if you haven’t elected the dual degree option. Complete your studies and broaden your career horizons with a Ph.D. in interdisciplinary applied science and mathematics.
Pursue directed research alongside faculty members who believe in your pioneering potential. You will benefit from their engagement in original research in pure and applied mathematics, statistics, and mathematics education.
Following graduation, you can join other alumni in finding important uses in virtually all facets of scientific and commercial activity. The mathematical sciences are particularly well-suited as languages for the quantitative analysis of complex problems, whether these problems arise in engineering, biological, economic, or a myriad other contexts. The study of mathematics and statistics is a rewarding endeavor, both personally and professionally. Explore the world of mathematics and statistics with us.
Our academic programs include many essential course offerings, including calculus, differential equations with matrix algebra, elementary linear algebra, and complex variables.
Areas of Research
- Geometric analysis and PDE
- Nonlinear PDEs, applied analysis and real harmonic analysis
- Operator theory
- PDE and applications
- Control and optimization
- Numerical and computational math
- Discrete mathematics
- Combinatorics and coding theory
- Graph theory and matroid theory
- Algebra and calculus: concepts and reasoning
- Mathematical knowledge for teaching
- Mathematical modeling
- Professional development and lesson study
- Statistical reasoning
Statistics and Probability
- Statistical theory, methods and applications
- Experimental design and testing hypotheses
- Probability and stochastic processes
- Bioinformatics and statistical genomics
- Machine learning