Brandeis University

What you'll study

The Master’s in Applied Mathematics at Brandeis emphasises both theoretical foundations and practical computational skills. The curriculum typically covers core areas such as real analysis, linear algebra and matrix theory, ordinary and partial differential equations, numerical analysis, and probability and statistics. Students learn modern computational methods including numerical linear algebra, scientific computing, optimisation, and algorithms for large‑scale data.

Programme components commonly include a mix of required core courses, electives, and a substantial culminating experience. Elective options allow specialisation in topics such as:

• Numerical methods for PDEs and ODEs
• Mathematical modelling in the physical and life sciences
• Computational statistics and machine learning
• Stochastic processes and applied probability
• Optimisation and control theory

Students complete a capstone component that may take the form of a supervised research project, computational practicum, or thesis. The programme emphasises hands‑on experience with scientific programming (for example, Python, MATLAB or Julia), high‑performance computing techniques, and application of mathematics to real data and real problems.

Entry requirements

Applicants are generally expected to hold a bachelor’s degree in mathematics or a related quantitative discipline such as physics, engineering, computer science, or statistics. Typical preparation includes coursework in calculus, linear algebra, multivariable calculus, differential equations and an introductory course in probability or statistics.

Admission materials usually include:

• A completed application form and academic transcripts
• A statement of purpose explaining academic background and goals
• Two or three letters of recommendation from academic or professional referees
• A current résumé or CV

Additional documentation is required for applicants whose first language is not English (standard English proficiency test scores). Some applicants may be asked to demonstrate quantitative preparation with example coursework or a record of prior research or programming experience. Specific standardized test policies (if any) and minimum grade expectations are set by the department and can vary; prospective applicants should consult the department’s admissions page for current details.

Career prospects

Graduates of the Master’s in Applied Mathematics go on to a wide range of careers that rely on advanced quantitative and computational skills. Common roles include:

• Data scientist, data analyst or machine learning engineer in technology and finance
• Quantitative analyst or risk modeller in finance and insurance
• Computational scientist or numerical analyst in engineering, climate and physical sciences
• Biostatistician or computational modeller in biotech and pharmaceutical sectors
• Software engineer or developer focusing on scientific computing

The master’s also prepares students who wish to continue to doctoral study in applied mathematics, statistics, computer science or related disciplines. Brandeis’ proximity to the Boston metropolitan area and its network of alumni and industry contacts can facilitate internships and employer connections in technology, finance and life sciences.

Why study at Brandeis University

Brandeis offers a close‑knit academic environment with accessible faculty who are active in both pure and applied research. The mathematics department encourages interdisciplinary collaboration with neighbouring departments such as computer science, physics and biology, enabling students to apply mathematical methods to diverse real‑world problems.

The university’s location near Boston and the broader New England research and technology corridor provides opportunities for internships, research partnerships and employment with academic institutions, startups, established technology firms and biomedical companies. Small class sizes and direct mentorship support skill development in programming, modelling and numerical analysis, preparing graduates for technical roles or further study.

Overall, Brandeis’ Master’s in Applied Mathematics is well suited to students seeking rigorous mathematical training combined with applied, computational experience and opportunities for interdisciplinary research.