Brandeis University

What you'll study

This programme builds a strong foundation in core mathematical subjects while emphasising computational methods and numerical practice. You will progress from calculus and linear algebra into higher-level courses that blend theory and computation.

• Core mathematical foundations: multivariable calculus, linear algebra, differential equations, and real analysis to provide the theoretical grounding for advanced study.
• Computational and applied courses: numerical analysis, numerical linear algebra, scientific computing, computational modelling, optimisation and algorithms for numerical problems.
• Probability and statistics: probability theory, mathematical statistics and applied data analysis to support work in stochastic modelling and data‑driven computation.
• Programming and software skills: practical training in programming languages and tools commonly used in scientific computing (for example Python, MATLAB, or similar environments), version control, and software development practices for numerical work.
• Electives and interdisciplinary options: opportunities to take electives in computer science, physics, engineering, economics or biology to apply computational mathematics to other disciplines.
• Capstone and research: a senior seminar, project or honours thesis option supervised by faculty, allowing you to carry out an independent computational or theoretical research project.

Entry requirements

Admission to Brandeis University is holistic. For the mathematics major, applicants are expected to demonstrate strong quantitative preparation.

• Academic background: high school coursework that includes algebra, geometry, precalculus and ideally single‑variable calculus. Successful applicants typically show strong grades in mathematics and related quantitative subjects.
• Preparation for the major: exposure to calculus and some familiarity with discrete mathematics or programming is advantageous. Placement assessments may be used to determine the appropriate starting point within the curriculum.
• Application materials: a complete undergraduate application including transcripts, personal statement and letters of recommendation. Standardised test submission policies vary; consult the university for current guidance.
• International applicants: equivalent secondary credentials, proof of English language proficiency where required, and evidence of strong quantitative preparation.

Career prospects

Graduates with a computational mathematics concentration are well placed for a range of careers that require mathematical modelling, numerical computation and data‑centric problem solving.

• Technology and software development roles, including algorithm design and scientific programming.
• Data science and analytics positions in industry, government and research organisations.
• Quantitative roles in finance, actuarial work and risk modelling.
• Technical roles in engineering, modelling and simulation across sectors such as biotech, energy and manufacturing.
• Graduate study in applied mathematics, computational science, statistics, computer science, engineering or related fields, including research and academic careers.

Why study at Brandeis University

Brandeis offers a close-knit undergraduate environment with strong faculty engagement, making it a good fit for students who want mentorship and hands‑on experience. The Department of Mathematics emphasises both theory and computation, and faculty conduct research across applied and theoretical areas.

• Undergraduate research and mentorship: opportunities to work directly with faculty on computational projects and to pursue an independent senior thesis or capstone.
• Interdisciplinary connections: easy access to related departments such as computer science, physics, economics and biology for cross‑disciplinary study and collaborative projects.
• Small classes and advising: focused instruction in upper‑division courses and personalised academic and career advising.
• Location advantages: proximity to the greater Boston area provides internship and employment access to a broad range of technology, research and biotech employers.