Applied Mathematics, M.S.

Learning Outcomes

Students who complete the M.S. degree program in applied mathematics will be able to:

• Apply methods of mathematical modeling and problem solving to a variety of applied topics, including computational and analytical methods;
• Demonstrate a general knowledge of mathematics beyond the undergraduate level; and
• Communicate mathematics effectively in written and oral form.

Admission

Requirements for admission to the Graduate School, including English language proficiency, may be found in the Admission  section of this Bulletin. In addition, applicants to the Master of Science (M.S.) program in applied mathematics must hold a baccalaureate degree from an accredited college or university, in a suitable discipline (e.g., 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, Ordinary Differential Equations, and Linear Algebra plus six credit hours of further mathematics beyond Calculus. Some programming experience and an acceptable score on the General Test of the Graduate Record Examination are also required.

Curriculum Requirements

A student who has been fully admitted to the Graduate School first meets with the graduate advisor for mathematics to plan a program of study through to the completion of the degree. The program is subject to change by mutual consent, but a current version remains on file. 

Students must gain 30 credit hours by enrollment in approved courses, which include all 7000-level mathematics courses offered by the department and certain other courses (with a maximum of 6 credit hours from outside the department) subject to approval by the graduate advisor. No more than 12 credit hours of 6000-level course work will be counted toward the graduate degree. 

Students in the Applied Mathematics Master’s program are required to take a course in mathematical modeling followed by two courses that reinforce, apply and explore various models. There are two tracks and students must successfully complete one of the two tracks.

Track I: Differential Equations

• MATH 7013 Advanced Mathematical Modeling or
• MATH 7053 Dynamical Systems

•  

• MATH 7103 Advanced Differential Equations
• MATH 7273 Numerical Differential Equations

Track II: Stochastic Modeling

• MATH 7423 Probability
• MATH 7503 Stochastic Modeling and Simulation

•  

• MATH 7553 Statistical Learning or
• MATH 7253 Numerical Optimization

Note

Substitutions may be approved by the Graduate Program Advisor or Department Chair.