Applied Mathematics (MS)

Students who graduate from the Applied Mathematics M. S. program will be prepared for quantitative careers in industry or academia. Students who successfully complete this program will be able to:

Recall and apply concepts from core subject areas including Vector Spaces, Analysis, and other topics such as Numerical Methods, Complex Variables and Integration, Probability, and Applied Mathematics
Use technology to gain insight into problems from engineering, natural science, computer science, operations research, or other application domains
Communicate mathematical ideas at a level appropriate for the audience

Program Policy Document:

Please see the Program Policy Document for more information.

Requirements for the Master’s Degree:

The M.S. degree in Applied Mathematics can be earned through one of two options: 30 credits of graduate level coursework; or 24 credits of graduate level coursework and 6 credits for research and thesis in the final semester. The Master’s thesis must be successfully completed and defended.

To be eligible for the degree, an M.S. candidate (including 4+1 B.S./M.S. students) must complete 30 credits of course work beyond the Bachelor’s degree.

The Master’s thesis must be successfully defended (see Section 3.1.2 of Policy document). One or more of the requirements above may be waived upon petitioning the Graduate Studies Committee. Credit hours for which the grade is below C-minus do not count toward a graduate degree.

Students in the 4+1 B.S./M.S. program may count up to six credits of coursework toward both their B.S. and M.S. degrees. This coursework must consist of MATH 600 level classes or above, and not otherwise be restricted by the catalog.

Required Coursework Non-Thesis:

Complete 30 credits. Minimum 24 credits must be from a 600 or 800 level MATH course in the list below.

MATH 600 - Fundamentals of Real Analysis Credit(s): 3
MATH 602 - Measure, Integration and Complex Variables Credit(s): 3
MATH 611 - Introduction to Numerical Discretization Credit(s): 3
MATH 612 - Computational Methods for Equation Solving and Function Min Credit(s): 3
MATH 616 - Modeling in Applied Mathematics Credit(s): 3
MATH 617 - Techniques of Applied Mathematics Credit(s): 3
MATH 620 - Introduction to Mathematical Finance Credit(s): 3
MATH 630 - Probability Theory and Applications Credit(s): 3
MATH 631 - Introduction to Stochastic Processes Credit(s): 3
MATH 637 - Mathematical Techniques in Data Science Credit(s): 3
MATH 650 - Algebra I Credit(s): 3
MATH 672 - Vector Spaces Credit(s): 3
MATH 688 - Combinatorics and Graph Theory I Credit(s): 3
MATH 806 - Functional Analysis Credit(s): 3
MATH 810 - Asymptotic and Perturbation Methods Credit(s): 3
MATH 817 - Introduction to Numerical Methods for Partial Differential Equations Credit(s): 3
MATH 829 - Topics in Mathematics Credit(s): 3
MATH 835 - Evolutionary Partial Differential Equations Credit(s): 3
MATH 836 - Elliptic Partial Differential Equations Credit(s): 3
MATH 838 - Finite Element and Boundary Element Methods Credit(s): 3
MATH 845 - Algebra II Credit(s): 3
MATH 850 - Theory of Probability Credit(s): 3
MATH 870 - Reading in Mathematics Credit(s): 1-6 (maximum of 3 credits)
MATH 888 - Combinatorics II Credit(s): 3
Any 600 or 800 level non-MATH courses, up to a maximum of 3 credits.

Required Coursework Thesis:

Complete 24 credits. Minimum 18 credits must be from a 600 or 800 level MATH course in the list below.

MATH 600 - Fundamentals of Real Analysis Credit(s): 3
MATH 602 - Measure, Integration and Complex Variables Credit(s): 3
MATH 611 - Introduction to Numerical Discretization Credit(s): 3
MATH 612 - Computational Methods for Equation Solving and Function Min Credit(s): 3
MATH 616 - Modeling in Applied Mathematics Credit(s): 3
MATH 617 - Techniques of Applied Mathematics Credit(s): 3
MATH 620 - Introduction to Mathematical Finance Credit(s): 3
MATH 630 - Probability Theory and Applications Credit(s): 3
MATH 631 - Introduction to Stochastic Processes Credit(s): 3
MATH 637 - Mathematical Techniques in Data Science Credit(s): 3
MATH 650 - Algebra I Credit(s): 3
MATH 672 - Vector Spaces Credit(s): 3
MATH 688 - Combinatorics and Graph Theory I Credit(s): 3
MATH 806 - Functional Analysis Credit(s): 3
MATH 810 - Asymptotic and Perturbation Methods Credit(s): 3
MATH 817 - Introduction to Numerical Methods for Partial Differential Equations Credit(s): 3
MATH 829 - Topics in Mathematics Credit(s): 3
MATH 835 - Evolutionary Partial Differential Equations Credit(s): 3
MATH 836 - Elliptic Partial Differential Equations Credit(s): 3
MATH 838 - Finite Element and Boundary Element Methods Credit(s): 3
MATH 845 - Algebra II Credit(s): 3
MATH 850 - Theory of Probability Credit(s): 3
MATH 870 - Reading in Mathematics Credit(s): 1-6 (maximum of 3 credits)
MATH 888 - Combinatorics II Credit(s): 3
Any 600 or 800 level non-MATH courses, up to a maximum of 3 credits.

Thesis:

Complete 6 credits.

MATH 869 - Master’s Thesis Credit(s): 1-6