Brandeis University

What you'll study

The Applied Mathematics curriculum at Brandeis emphasises mathematical foundations, computational techniques and applications across disciplines. Core study typically includes multivariable calculus, linear algebra, differential equations, and introductory real analysis to build theoretical maturity. Students move on to applied and computational topics such as numerical analysis, scientific computing, mathematical modelling, partial differential equations, optimisation, and probability and statistics.

Elective options allow students to tailor the major toward interests in data science, computational biology, finance, or engineering. Typical electives and seminar offerings include stochastic processes, mathematical biology, computational geometry, machine learning, financial mathematics, and high-performance computing. The programme usually culminates in a capstone experience—either a senior thesis, a project-based course, or an interdisciplinary practicum—where students tackle an applied problem using mathematical and computational tools.

Throughout the degree students gain practical experience in programming (common languages include Python, MATLAB and Julia), numerical simulation, data analysis, and the use of mathematical software. Small-group seminars and opportunities to work with faculty on research projects are common, reflecting Brandeis’s emphasis on close faculty mentorship and undergraduate research.

Entry requirements

Admission to Brandeis is selective and applicants for the Applied Mathematics major are expected to demonstrate strong quantitative preparation. Competitive candidates typically present high achievement in secondary‑school mathematics, including calculus; coursework in physics or computer science is advantageous. For applicants from educational systems with A‑levels, IB, or equivalent, strong grades in maths and a quantitative science are expected.

Standard components of a successful application include academic transcripts, letters of recommendation that speak to mathematical ability, and a personal statement outlining interest in applied mathematics and intended areas of focus. Transfer students should provide college transcripts and evidence of calculus and other relevant coursework. Standardised test policies may vary; applicants should consult the university for current guidance.

Career prospects

Graduates with an Applied Mathematics degree from Brandeis pursue a wide range of careers where quantitative and computational skills are in demand. Common paths include data science and analytics, software engineering, quantitative finance and risk analysis, actuarial work, operations research, and technical roles in biotechnology and engineering. Many alumni also continue to graduate study in applied mathematics, statistics, computer science, economics or related fields, entering research, academic or specialised industry roles.

Brandeis students benefit from internship and practicum opportunities in the Boston–area innovation ecosystem, and career services support for résumé preparation, interview practice and employer connections helps translate the major’s skills into professional placements.

Why study at Brandeis University

Brandeis offers an Applied Mathematics programme characterised by close faculty interaction, undergraduate research opportunities and strong interdisciplinary links across computer science, biology, physics and economics. The department’s size promotes personalised advising and frequent mentorship, while collaborations with local research institutes and industry provide practical application and internship possibilities.

Located near Boston and Cambridge, Brandeis gives students access to a vibrant tech and biotech community, facilitating internships and employment. The university’s commitment to undergraduate education, combined with modern computing facilities and seminar-driven coursework, creates an environment where students can develop both rigorous mathematical understanding and practical computational expertise.