This option is centered on numerical methods, algorithms, and applications in computing and technology.
Degree Plan Requirements
- Requires a minimum of 36 credit hours, at least 24 of which must be in mathematics.
- There must be 12 credit hours in specialized mathematics courses selected from the following:
- MATH 609 (Numerical Analysis);
- MATH 632 (A Transition to Graduate Level Mathematics);
- MATH 640 (Linear Algebra for Applications);
- MATH 696 (Mathematical Communication and Technology).
- There must be 12 hours of graduate distance mathematics courses, selected from the following:
- MATH 602 (Methods and Applications of PDE);
- MATH 610 (Numerical PDE);
- MATH 613 (Graph Theory);
- MATH 614 (Dynamical Systems and Chaos);
- MATH 615 (Introduction to Classical Analysis);
- MATH 619 (Applied Probability);
- MATH 630 (Combinatorics);
- MATH 639 (Iterative Techniques);
- MATH 645 (A Survey of Mathematical Problems);
- MATH 647 (Mathematical Modeling);
- MATH 649 (Principles of Deep Learning);
- MATH 660 (Computational Linear Algebra);
- MATH 673 (Mathematical Foundations of Cryptography);
- MATH 677 (Mathematical Foundations for Data Science);
- There must be one graduate course in statistical methods.* Suggested courses include:
- STAT 601 (Statistical Analysis);
- STAT 608 (Regression Analysis);
- STAT 630 (Mathematical Statistics);
- STAT 651 (Statistics in Research I).
- This leaves 9 of 36 credits to be chosen in consultation with the student's advisor.** Note that at least 3 of these 9 credits must be in Mathematics. For mathematics courses in this category students can use courses from item 3 if they have not already been used to satisfy the requirements for item 3.
*Math 619 is allowed in place of your Statistics course if it has not already been used to satisfy the requirements for item 3.
**MATH 685, Directed Studies, will be a variable credit course (1 to 3 credit hours). It may be used for a limited investigation, research, an in-depth reading of a specific topic not covered in a standard course, or as a capstone project. The student is responsible for finding a faculty member to work with them and must have the permission of both the Committee Chair and the Director of the Program to enroll in this course.