Worcester Polytechnic Institute

What you'll study

The MS in Applied Mathematics combines rigorous theoretical coursework with hands-on computational and modelling experience. Core topics typically include numerical analysis and scientific computing, partial differential equations and their numerical solution, dynamical systems and bifurcation theory, optimisation and control, stochastic processes and probabilistic modelling, and advanced linear algebra. Electives allow specialisation in areas such as machine learning and data science, computational fluid dynamics, inverse problems and image processing, mathematical finance, or high-performance computing.

Students choose between options that emphasise coursework with a substantial project or a research/thesis route. A hallmark of WPI’s approach is project-based learning: students undertake an applied capstone project that involves formulation, computation and validation of mathematical models in collaboration with faculty, other disciplines or external sponsors. Coursework is complemented by seminars and opportunities to apply methods to data-driven or experimental problems.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, engineering, physics, computer science or a related quantitative field, with a record of strong performance in undergraduate mathematics and computational courses. Typical preparation includes multivariable calculus, differential equations, linear algebra, probability and introductory programming.

Required application materials generally include official transcripts, a statement of purpose describing academic and professional goals, a curriculum vitae or résumé, and letters of recommendation from academic or professional referees. International applicants must demonstrate English language proficiency. Some applicants with non‑traditional backgrounds may be admitted conditionally and asked to complete prerequisite coursework.

Career prospects

Graduates of the MS in Applied Mathematics are prepared for quantitative roles across industry, government and research. Common job titles include data scientist, quantitative analyst, modelling and simulation engineer, computational scientist, operations research analyst, and software engineer specialising in scientific computing. The programme also provides a solid foundation for those pursuing doctoral study in applied mathematics, computational science or related disciplines.

Alumni find employment in sectors such as technology and software, finance and risk management, aerospace and defence, energy, healthcare and biotechnology, and consulting. The programme’s emphasis on project work and interdisciplinary collaboration helps graduates demonstrate applied experience sought by employers.

Why study at Worcester Polytechnic Institute

WPI is known for its project-driven pedagogical model that integrates classroom learning with substantive applied work; this approach is particularly well suited to applied mathematics, where translating theory into computational solutions is essential. Students benefit from close faculty mentorship in small classes, access to high-performance computing resources and laboratories, and opportunities to collaborate with engineering and science departments.

WPI’s industry and research connections provide avenues for real-world projects and internships, while the university’s emphasis on interdisciplinary problem solving helps students apply mathematical methods across domains. For students seeking a pragmatic, computation-focused master’s degree with tangible project experience, WPI offers a supportive environment and clear pathways into technical careers or further research.