Boise State University

What you'll study

The Applied Mathematics major emphasises both theoretical foundations and practical computation. Core topics include multivariable calculus, linear algebra, ordinary and partial differential equations, real analysis and probability. Students study numerical analysis and scientific computing to learn algorithmic approaches for approximating solutions, and mathematical modelling courses that translate real problems into mathematical form.

Typical modules and subject areas you can expect include:

• Calculus sequence and vector calculus
• Linear Algebra and Matrix Computations
• Differential Equations (ordinary and partial)
• Real Analysis or Advanced Calculus
• Numerical Analysis / Scientific Computing
• Probability Theory and Mathematical Statistics
• Mathematical Modelling and Applied Analysis
• Optimization and Operations Research
• Computational Mathematics using MATLAB, Python or similar
• Electives in dynamical systems, stochastic processes, machine learning or mathematical biology
• Capstone project or senior thesis involving interdisciplinary applications and often a computational component

The programme typically integrates laboratory‑style computing assignments, project work, and opportunities to collaborate with faculty on research. Students may combine the major with minors or certificates in areas such as computer science, data science, engineering, economics or statistics to broaden applied skills.

Entry requirements

Applicants should demonstrate strong preparation in mathematics, usually including algebra, geometry, trigonometry and precalculus, with successful completion of introductory calculus preferred. Successful applicants typically present a solid high‑school GPA with evidence of quantitative coursework; transfer applicants are expected to have completed college calculus and related coursework.

Boise State considers the whole application; standard components include an application form, academic transcripts and any required test scores or evidence of equivalent preparation. International applicants must meet university English language proficiency requirements. Specific minimums for GPA and standardised tests are not listed here—check the university admissions pages for current guidance and any programme prerequisites.

Career prospects

Graduates with a Bachelor’s in Applied Mathematics are well placed for roles that require quantitative analysis, modelling and computational skill. Common career paths include:

• Data analyst or data scientist roles in technology, finance, healthcare and retail
• Quantitative analyst or modelling positions in finance and insurance
• Operations research and optimisation roles for logistics and manufacturing
• Software development and engineering positions where numerical methods are important
• Research and technical roles in government laboratories, environmental agencies and energy companies
• Further study at graduate level (MSc/PhD) in applied mathematics, statistics, data science, engineering or related fields

Boise State students often obtain internships with regional employers and national organisations, and the department’s emphasis on computing and project work helps graduates present practical portfolios to potential employers.

Why study at Boise State University

Boise State offers an applied, hands‑on approach with access to faculty engaged in computational and interdisciplinary research. The Department of Mathematics collaborates with engineering, computer science, statistics and industry partners, enabling students to work on authentic applied projects and to take advantage of cross‑disciplinary course options.

Facilities include modern computing resources and laboratory spaces for numerical experimentation and data analysis. The programme’s location provides access to regional tech employers, research labs and a network of internship opportunities. Advising and career services at Boise State support students in planning coursework, securing experiential learning and preparing for graduate study or employment.

Overall, the programme is a good fit for students who want rigorous mathematical training combined with practical computational skills and opportunities to apply those skills to real problems across a range of sectors.