Applied Mathematics – B.S.
The Bachelor of Science degree in Applied Mathematics from Kent State University emphasizes the tools most useful in science, engineering and technology applications: mathematical modeling, scientific computing and probability and statistics.
Duration
4 years
Starting Date
January, August
Tuition Fee
$ 21,578 per year
Location
Kent, United States
About the program
Students may apply early to the M.S. in Applied Mathematics and double count 9 credit hours of graduate courses toward both degree programs.
The Applied Mathematics program from Kent State University comprises the following concentrations:
- The Applied Mathematics concentration emphasizes the classical aspects of the discipline, which are rooted in mathematical modeling and applications in the sciences. It couples well with the Physics minor or major.
- The Computational Mathematics concentration is designed for students with interests in numerical modeling and scientific computing. It pairs well with the Computer Science minor or major.
- The Financial Mathematics concentration prepares students for graduate programs in mathematical or computational finance or financial engineering.
- The Probability and Statistics concentration emphasizes the mathematics underlying processes that involve randomness and the mathematical tools used in the analysis of data.
Learning Outcomes
Graduates of this program will be able to:
- Recognize problems with mathematical solutions from across disciplines.
- Use precision and logical rigor to make both concrete and abstract conclusions.
- Communicate and interact appropriately with different audiences.
- Collaborate with others across disciplines in diverse contexts.
- Use mathematical concepts and techniques in practical and applied problems.
- Use technology to implement mathematical theory in applied contexts.
Courses Included
- Analytic Geometry and Calculus
- Decision-making Under Uncertainty
- Linear Algebra
- Ordinary Differential Equations
- Probability Theory and Applications
- Theory of Statistics
- Numerical Computing