This program is designed to provide students with the opportunity to broaden and deepen their knowledge of mathematics with an emphasis on those areas that have been most important in science and engineering. The student will also examine, through seminars and case studies, examples of significant applications of mathematics to other areas. This expanded base of knowledge, together with extensive experience in problem solving should prepare the student for further studies leading to the Ph.D. degree or for immediate employment in many areas of industry and government.
To enter the program the student should have a Bachelor's degree in mathematics, or a related field, and have completed undergraduate courses in Linear Algebra and Differential Equations. Students without these prerequisites may take them without credit toward the M.S. degree. Partial tuition waivers may be available to qualified students.
Non-thesis Option
Course List | Course ID | Title | Credits |
| 3 |
| Real Analysis I | |
| Real Analysis II | |
| Analysis I | |
| 3 |
| Mathematical Statistics | |
| Stochastic Processes | |
| Linear Models | |
| Data Analysis | |
| Time Series Analysis | |
| MATH 7310 | Applied Mathematics I | 3 |
| MATH 7320 | Applied Math II | 3 |
| MATH 7350 | Scientific Computing I | 3 |
| MATH 7980 | Reading and Research | 3 |
| 1 | 12 |
| Total Credit Hours | 30 |
Additional Requirements
A four-hour written examination to be taken upon completion of the course work, with topics drawn from differential equations, and scientific computation. The student is given two chances to pass this exam. The Ph.D. Qualifying examination in Applied Mathematics or Scientific Computation can be substituted for the Masters exam.
A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.
Thesis Option
Required Courses
Course List | Course ID | Title | Credits |
| 3 |
| Real Analysis I | |
| Real Analysis II | |
| Analysis I | |
| 3 |
| Mathematical Statistics | |
| Stochastic Processes | |
| Linear Models | |
| Data Analysis | |
| Time Series Analysis | |
| MATH 7310 | Applied Mathematics I | 3 |
| MATH 7320 | Applied Math II | 3 |
| MATH 7350 | Scientific Computing I | 3 |
| 1 | 9 |
| Total Credit Hours | 24 |
Additional Requirements
A thesis approved by the thesis committee consisting of a faculty member acting as advisor and two additional faculty. The thesis is typically much more substantial than the MATH 7980 Reading and Research (1-9 c.h.) project.
A programming project designed to demonstrate proficiency in one of MATLAB, Fortran, C, or C++.
Optional Courses
MATH 7980 Reading and Research (1-9 c.h.) consists of a semester-long project in differential equations, scientific computation, optimization, analytical methods, engineering or other topics in applied mathematics. The project must be under the supervision of a faculty member from the Mathematics Department.
