# Distance Masters degree: Computational Math Track

## 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 640 (Linear Algebra for Applications);
- MATH 632 (A Transition to Graduate Level Mathematics);
- 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 I);
- MATH 647 (Mathematical Modeling);
- MATH 649 (Principles of Deep Learning);
- MATH 660 (Computational Linear Algebra);
- MATH 662 (Seminar in Algebra);
- MATH 664 (Seminar in Applied Math);
- MATH 666 (Seminar in Geometry);
- MATH 673 (Information, Secrecy and Authentications I);
- MATH 677 (Mathematical Foundations for Data Science);
- Math 685 (Directed Studies*);
- MATH 689 (Special Topics).

* Math 685 (typically 1 credit hour, no more 3 credit hours) will be allowed only with the permission of the Committee Chair and the Director of the Program.

- 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.

**Math 619 is allowed in place of your Statistics course with permission of the Director of the Program.