M.S. in Applied Math
The Department of Mathematical and Computer Sciences offers a program leading to the M.S. degree in applied mathematics, which is a professional mathematics degree designed to prepare students for work in industry. Students graduating from this program will be proficient with modern computation tools and will have experience in solving realistic industrial problems. The courses Mathematical Modeling, Professional Skills of Industrial Mathematics, and the Group Report ensure that students are prepared for work in industry.
Admission
An applicant must hold a baccalaureate degree from an accredited college or university in mathematics, computer science, engineering, or science, with a 3.0 grade point average in the major field of undergraduate study. Undergraduate courses required for official acceptance are Multivariable Calculus and Ordinary Differential Equations plus six credit hours of additional mathematics in addition to calculus. Some programming experience and an acceptable score on the General Test of the Graduate Record Examination are also required.
Requirements
A student who has been fully admitted to the Graduate School first meets with the graduate coordinator of the professional mathematics program to plan a program through to the completion of the degree requirements. The program of study must be approved by the mathematics Graduate Study Committee. The program is subject to change by mutual consent, but a current version remains on file. Students admitted to the program without adequate background in linear algebra will be required to take Math 6523, Linear Algebra and Matrix Theory.
Each student in the program is required to take Math 7013, Advanced Mathematical Modeling, Math 7033, Professional Skills of Industrial Mathematics, and Math 7913, Group Report. Students must also choose three courses from the following list of core courses:
- MATH 7023 - Discrete Modeling
- MATH 7103 - Advanced Differential Equations
- MATH 7243 - Computational Linear Algebra
- MATH 7253 - Optimization
- MATH 7533 - Applied Regression
Other courses used to meet the total program requirement are elective, subject to approval by the graduate coordinator. Up to six hours may be non-mathematics courses. Total requirements for the degree are 30 credit hours. No more than 12 credit hours of 6000-level course work will be counted for the graduate degree.
The number of credits allotted a course is indicated by the last digit of the course number.