University of San Diego

What you'll study

The Applied Mathematics programme combines a solid foundation in pure mathematics with coursework and projects that emphasise modelling, computation and application. Core topics include calculus (single and multivariable), linear algebra, differential equations, real analysis and probability. From there students move into applied and computational subjects such as numerical analysis, mathematical modelling, optimisation, scientific computing, and mathematical statistics.

• Core mathematics: Calculus sequence, Linear Algebra, Differential Equations, Real Analysis
• Applied and computational courses: Numerical Methods, Mathematical Modelling, Optimisation, Scientific Computing, Computational Linear Algebra
• Probability and Statistics: Probability Theory, Mathematical Statistics, Applied Data Analysis
• Electives/specialisations: Mathematical Biology, Financial Mathematics, Machine Learning for Mathematicians, Operations Research
• Capstone and research: Senior project or honours thesis with a faculty mentor; optional internships or supervised research placements with local industry or campus research groups

Students also complete the university's general education curriculum, which broadens communication, ethical reasoning and interdisciplinary skills. Many courses include computational components using languages and tools commonly used in industry (for example Python, MATLAB or R) and place an emphasis on presenting quantitative results to non-specialist audiences.

Entry requirements

Applicants to the Bachelor of Science in Applied Mathematics should demonstrate strong preparation in high-school mathematics—typically including precalculus and calculus where available—and a record of coursework in sciences or computing is advantageous. Admission decisions at the University of San Diego are based on a holistic review of academic performance, recommendation letters, a personal statement and extracurricular involvement.

• Academic credentials: High-school diploma or equivalent with a strong background in maths; competitive applicants typically present a rigorous course load.
• Standardised tests and alternatives: The university reviews applications holistically and publishes its policy on standardised tests; applicants should consult the admissions office for current guidance.
• International students: Equivalent secondary qualifications are required along with proof of English proficiency through recognised tests or university-approved alternatives, unless exempt.
• Other materials: Letters of recommendation, a personal statement that highlights quantitative interests and experience, and any relevant coursework or project portfolios are helpful.

Career prospects

Graduates with a BSc in Applied Mathematics are prepared for a range of careers that require strong analytical and computational skills. Common roles include data analyst, quantitative analyst in finance, actuarial trainee (with further professional exams), operations or supply‑chain analyst, and roles in modelling and simulation across engineering and the life sciences. Many graduates also move into software engineering, business analytics or product analytics roles at technology and biotech companies.

Those wishing to pursue advanced technical careers often progress to graduate study in applied mathematics, statistics, computer science, engineering or data science. The programme’s emphasis on modelling, computation and communication also provides a solid foundation for careers in government research labs, consulting and education.

Why study at University of San Diego

The University of San Diego offers a personalised learning environment with relatively small class sizes and opportunities for close mentorship from faculty active in both theoretical and applied research. The mathematics department emphasises undergraduate involvement in research and project-based learning, and students can access interdisciplinary collaborations with departments such as engineering, computer science and business.

• Hands-on experience: Opportunities for internships and research projects with local tech, biotech and finance firms in the San Diego region.
• Interdisciplinary pathways: Easy collaboration across departments to tailor minors or combined study in areas like data science, engineering or economics.
• Support and career services: Advising for graduate-school preparation and professional development, plus resources to prepare for actuarial exams or technical interviews.
• Community and values: A campus culture that emphasises ethical leadership, service and holistic education within the university’s broader liberal arts framework.