Master of Science in Applied Mathematics, and Mathematical Modeling Concentration
The Master of Science degree program in Applied Mathematics provides students with a thorough introduction to application-oriented mathematics. The objectives of the program are two-fold: to develop the student's ability to analyze and solve a variety of real-world problems and to increase the student's understanding of specific problems encountered in other fields. Students may tailor their programs to emphasize discrete or continuous mathematics, or probability and statistics. Coursework in an area of application, such as computer science, engineering or physics is also encouraged. Students may choose to complete a modeling project as part of their program.The Applied Mathematics degree requires 30 semester credits of course work. The program is designed primarily to prepare graduates for careers in business, industry, or government, but can be tailored to provide a solid foundation for doctoral studies in mathematics. The department makes provision for part-time degree candidates by offering all required courses in the late afternoon or evening.
The Applied Mathematics option is designed for students with an undergraduate degree in engineering, science, mathematics or statistics, who wish to acquire a solid foundation in applied mathematics. Applicants for admission should have completed courses in multivariable calculus, ordinary differential equations and linear algebra. In addition, students should have some experience with computer programming or the use of computational software packages, and courses in partial differential equations and physics are desirable. Applicants with insufficient preparation may be admitted on the condition that they complete certain prerequisite work to be specified by the department at the time of admission.
In addition to the requirements of the Graduate School, the Master of Science degree in Applied Mathematics may be earned by satisfying the degree requirements described below.
Required Core Courses - 13 Credits:
|MTH 6060||Mathematical Modeling|
|MTH 6800, 6810||Methods of Applied Mathematics I, II|
|MTH 7160||Numerical Analysis I|
Advanced Courses - 7 - 8 Credits:
Two (2) additional courses chosen from:
|MTH 7170||Numerical Analysis II|
|MTH 7310, 7320||Real Analysis I, II|
|MTH 7770||Applied Analysis|
|STT 7020||Applied Stochastic Processes|
|CS 7400||Computational Complexity and Algorithm Analysis|
Elective Courses - 3 - 10 credits:
Chosen from the courses below or from any of the advanced courses listed above:
|MTH 6100||Theoretical Foundations of Computing|
|MTH 6190||Cryptography and Data Security|
|MTH 6310, 6320||Real Variables I, II|
|MTH 6550||Advanced Linear Algebra|
|MTH 6560||Coding Theory|
|MTH 6570||Combinatorics and Graphing Theory|
|STT 6610, 6620||Theory of Statistics I, II|
|STT 6640||Computational Statistics|
A mathematical modeling project performed under the supervision of a faculty advisor may be substituted for 4-6 credits of Electives listed above.
Students completing a project must give an oral presentation describing project results and pass two (2) 90-minutecomprehensive examinations over selected coursework. Students not completing a project must pass three (3) 90-minute comprehensive examinations over selected coursework.
*Certain other courses may be permitted as substitutions with advisor approval. Such courses may be offered by departments other than the Department of Mathematics and Statistics.
TOTAL CREDITS: 30 Credits
Click here for a complete catalogue listing of graduate mathematics courses.
For further information about the mathematics program, contact:
Dr. David Miller, Applied Mathematics Advisor