Graduate Certificate in Applied Mathematics
The Graduate Certificate in Applied Mathematics is designed to enhance training in various aspects of applied mathematics. It is intended for students who are currently pursuing a graduate degree in a discipline outside of the Mathematics Department, or for students who wish to pursue the certificate as a stand-alone program.
Admission to Graduate Studies
Admission Requirements
- All applicants must meet the requirements outlined in the Admission to Graduate Study policy.
- Bachelor’s degree: A copy of official transcripts showing proof of a bachelor's degree (and any post-bachelor’s coursework or degrees) from a regionally accredited institution, or a foreign university with equivalent bachelor's degree requirements is required.
- English proficiency: Proof of English proficiency for non-native or non-native-like English speakers is required. There are two bands of English proficiency, including Admission and Full proficiency. For applicants to online programs, Full proficiency is required.
Admission to the Graduate Certificate in Applied Mathematics
- Current enrollment in a KU graduate program outside the Department of Mathematics, or as a non-degree-seeking student
- Completion of two MATH graduate courses from those listed in the Certificate Requirements, with a minimum 3.0 GPA. These courses can then count towards the 12 credits required for the certificate.
Contact the department:
Michelle Morrison
Graduate Program Coordinator
Department of Mathematics
433 Snow Hall
michmor@ku.edu
The certificate requires the completion of four courses from the following list:
| Code | Title | Hours |
|---|---|---|
| Select four MATH courses from the following list: | 12 | |
| Algebraic Topics in Computing: _____ | ||
| Applied Regression Analysis | ||
| Time Series Analysis | ||
| Actuarial Mathematics | ||
| Applied Partial Differential Equations | ||
| Calculus of Variations and Integral Equations | ||
| Nonlinear Dynamical Systems | ||
| Combinatorial Mathematics | ||
| Graph Theory | ||
| Probability Theory | ||
or MATH 627 | Probability | |
| Statistical Theory | ||
or MATH 628 | Mathematical Theory of Statistics | |
| Stochastic Adaptive Control | ||
| Mathematical Analysis I | ||
| Mathematical Analysis II | ||
| Numerical Analysis I | ||
| Numerical Analysis II | ||
| Applied Numerical Methods for Partial Differential Equations | ||
| Differential Equations and Dynamical Systems | ||
| Topics in Dynamical Systems: _____ | ||
| Stochastic Processes I | ||
| Stochastic Processes II | ||
| Statistical Decision Theory | ||
| Topics in Advanced Numerical Linear Algebra: _____ | ||
| Topics in Advanced Numerical Differential Equations: _____ | ||
| Partial Differential Equations | ||
| Topics in Advanced Partial Differential Equations II: _____ | ||
| Total Hours | 12 | |
Other courses (600 level or above) may be substituted with the approval of the Director of Graduate Studies. At least two courses must be at the 700 level or above. Courses should be selected in consultation with an advisor.
At the completion of this program, students will be able to:
- Demonstrate broad and/or deep understanding of core areas of applied/applicable mathematics that are represented in the Department of Mathematics and apply them to disciplinary research.
- Model applied problems (arising in science, engineering, or other fields) using mathematics, and apply the resulting mathematical models to solve the original problems.
- Communicate applied/applicable mathematics effectively both orally and in writing.