This option focuses on using computational methods to solve complex mathematical problems. This track trains students to apply advanced algorithms and software to tackle challenges in fields like data science and scientific modeling. With a strong emphasis on practical problem-solving, students are well-prepared for high-demand careers in technology, research, and various industries where computational skills are essential.
Degree Plan Requirements
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- Requires a minimum of 36 credit hours, at least 18 of which must be in mathematics.
- There must be 15 credit hours in specialized mathematics and statistics courses selected from the following:
- MATH 609 (Numerical Analysis);
- MATH 619 (Applied Probability);
- MATH 632 (A Transition to Graduate Level Mathematics);
- STAT 608 (Regression Analysis*);
- STAT 630 (Mathematical Statistics);
- There must be 12 hours of graduate mathematics courses and 6 hours of graduate statistics courses, selected from the following:
- MATH 613 (Graph Theory);
- MATH 615 (Introduction to Classical Analysis);
- MATH 628 (Mathematics of Finance);
- MATH 630 (Combinatorics);
- MATH 640 (Linear Algebra for Applications);
- 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);
- MATH 696 (Mathematical Communication and Technology);
- STAT 601 (Statistical Analysis);
- STAT 624 (Databases and Computational Tools Used in Big Data);
- STAT 626 (Methods of Time Series Analysis);
- STAT 639 (Data Mining and Analysis).
- STAT 646 (Bioinformatics);
- STAT 650 (Statistical Foundation For Data Science);
- STAT 651 (Statistics in Research I);
- STAT 652 (Statistics in Research II);
- STAT 656 (Applied Analytics);
- This leaves 3 of 36 credits to be chosen in consultation with the student's advisor (This should be a class in mathematics).**
*STAT 601 or STAT 651 is a prerequisite for STAT 608.
**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.