Chart Your Future
Through calculus, discrete mathematics, geometry, abstract and linear algebra, history of mathematics, and number theory, you'll be able to test your newly acquired skills in a variety of scenarios. Our program also provides you the flexibility to explore your passions, such as machine learning or teaching. After completing your undergraduate studies, you can pursue a variety of career fields including education, scientific and technological fields, computing and information science, and the option to continue on to A&M-Commerce's graduate program.
As a mathematics student, you have access to a wide range of scholarships specific to your degree.
Undergraduate Program Costs
Tuition and fees for undergraduate students taking 12 credit hours are $4,212 for Texas residents and $9,108 for non-residents.
Mathematics students can go on to become in-demand analysts, actuaries, data scientists and engineers. Graduates are well-positioned to transition quickly when internship and job opportunities present themselves.
Career Possibilities and Current Median Salaries
- Mathematicians and Statisticians – $88,190, 33% projected job growth through 2026
US DOL Bureau of Labor Statistics, Occupational Outlook Handbook, 2021
Join the STEM Education Alliance. Four departments have partnered to provide you with the tools and resources needed to excel in education. Our program offers collegiate-level teaching and tutoring experiences through the Learning Assistant program. You'll also have access to several scholarships designed for STEM majors.
Internship experience provides the foundation employers are often looking for. Internships are offered as optional credit for this program and can be an important part of your education experience. These are just a few of the companies that partner with Student Career Preparedness and offer opportunities for A&M-Commerce math students.
A calculus-based course in classical probability theory. Topics covered include probability axioms and properties, discrete and continuous random variables, joint distributions, conditional distributions, expectation and variance, covariance and correlation, moment generating functions, central limit theorem.
Get and introduction to computer algebra systems. Topics include methods for approximate solutions of equations in one variable, polynomial approximation methods, numerical calculus, numerical solutions to ordinary differential equations, linear systems of equations, and difference equations.
Be introduced and provide models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; and applications in science and engineering.