University of La Verne

Programme overview

This undergraduate degree develops mathematical thinking through instruction in core areas such as calculus, linear algebra, differential equations, probability and statistics, and mathematical reasoning. The curriculum balances theoretical foundations with opportunities for applied work, preparing students for immediate employment or further study.

What you'll study

Students can expect a progression from foundational coursework in calculus and algebra to more advanced topics that may include real analysis, abstract algebra, numerical methods and statistical inference. Coursework typically emphasizes proof-writing, model building and computational techniques; opportunities for independent study, capstone projects or research may be available to apply concepts to concrete problems.

Entry requirements

Admission generally requires a high-school diploma or equivalent with a strong background in mathematics (algebra, geometry and precalculus or calculus). Applicants benefit from demonstrated quantitative aptitude through grades, standardized test scores where used, and any preparatory coursework or math-related extracurriculars.

Career prospects

Graduates commonly move into roles such as secondary mathematics teacher (with appropriate certification), data analyst, actuarial trainee, quantitative analyst, or technical positions in engineering, finance and technology firms. The degree also provides a solid foundation for graduate study in mathematics, statistics, data science or related disciplines.

Scholarships & funding angle (general)

Students should explore institutional merit scholarships, department-specific awards for mathematics majors, and externally funded scholarships from professional societies and foundations. Research assistantships, tutoring positions and paid internships provide additional funding while building skills and experience.