Mathematics
Master of Science in Mathematics
The Master of Science in Mathematics is a 30-credit hour graduate degree that prepares students for careers in data science, artificial intelligence, software engineering, operations research, and college-level teaching. The program can be completed in as little as 18 months and is offered fully online.
MS in Mathematics — Quick Facts
- Degree type: Master of Science
- Credit Hours: 30
- Format: Fully online
- Time to Completion: 18 months (full-time students)
- Estimated Cost: Less than $12,000 (for Texas residents)
- Transfer Credits: Accepted, up to 12 hours
- Optional Certificate: Dual-Credit Mathematics Teaching Credentialing
What Jobs Can You Get with a Graduate Mathematics Degree?
Graduates commonly work as data scientists, quantitative analysts, AI engineers, operations research analysts, college mathematics instructors, and more. Employers include technology firms, logistics companies, government agencies, research institutions, and colleges.
According to the U.S. Bureau of Labor Statistics, employment for mathematicians and statisticians is projected to grow faster than average through 2034, with approximately 37,700 job openings per year nationwide.
How Much do Graduates with a Master’s in Mathematics Earn?
Median annual salaries according to the Bureau of Labor Statistics, Glassdoor, and ZipRecruiter:
- Data Scientists: $112,590
- Research Analyst: $76,950 (varies by industry)
- AI Engineer: $141,000
- Software Engineer: $107,800 – $111,000 (average pay range with no experience)
Affordable MS in Mathematics
The total estimated cost for an MS in Mathematics is $11,914 based on 2026 tuition prices for Texas residents. Full-time students, taking 9 credit hours (3 classes) will pay approximately $3,563 per term. Non-resident tuition is approximately twice this value. Additional fees may apply with specific courses. Find out more using our tuition calculator.
Why Choose This Online MS in Mathematics?
Academic Strengths
- Linear Algebra
- Probability
- Computational Mathematics
- Machine Learning Electives
- Dual-Credit Credentialing for Teachers
Career Preparation
- Research Publication Opportunities
- Industry-Level Projects
- Personalized Faculty Mentoring
Flexibility
- 1-3 Courses Per Semester
- Summer Courses Available
- Fully Online
Hands-On Research Training
- Machine Learning
- Optimization
- Mathematical Modeling
- Data Analysis
- Visualization
- Applied Probability
Potential Research Outcomes
- Conference Presentations
- Peer-Reviewed Journal Publications
- Fellowship Applications
- Book Chapter Publication
Additional Program Information
Required and Elective Degree Courses
| Degree Core Classes, Four Required: |
| Course Number | Description | Prerequisite |
|---|---|---|
| MATH 5305 | Probability and Statistics | MATH 3311 |
| MATH 5308 | Abstract Algebra | MATH 4332 |
| MATH 5360 | Numerical Analysis | MATH 4309 |
| MATH 5350 | Applied Linear Algebra | MATH 3332 |
| Degree Elective Classes, Four required: |
| Machine Learning, Data Science, Mathematical Modelling, Operations Research, Project-based Courses |
| Related Elective Classes, four Required: |
| Information Systems, Education, business, Social Sciences |
Frequently Asked Questions
Program Contact
Dr. Christopher Thron
Department: Science and Mathematics
Associate Professor and Chair in Mathematics
Room: Heritage Hall-302J
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