Applied Mathematics graduates earn a median $86,689 Across 204 US programmes, two years after finishing
See the degree grade →The Master’s in Applied Mathematics at St. John’s University develops advanced mathematical and computational skills for modelling and solving real-world problems across science, engineering and finance. It suits graduates with a strong quantitative background who want to pursue careers in industry, government or further research, or those seeking to add rigorous analytical training to an existing technical qualification.
The programme combines advanced theory with computational practice to equip students to formulate and solve applied problems. Core topics typically include advanced linear algebra, real and complex analysis, numerical analysis and scientific computing, ordinary and partial differential equations, and mathematical modelling techniques.
Students also study probability and statistical methods for applied settings, optimisation and control, and specialised elective topics such as stochastic processes, computational methods for PDEs, dynamical systems, inverse problems, and introductory machine learning. Teaching is delivered through lectures, problem classes and laboratory sessions using modern mathematical software and programming languages commonly used in industry.
Students usually complete the programme by either a supervised research thesis or a substantial applied project in collaboration with faculty or external partners. The balance of coursework, project work and any research component is designed to develop both theoretical understanding and practical implementation skills.
Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, engineering, physics, computer science or a closely related quantitative discipline. Typical preparedness includes undergraduate coursework in calculus, linear algebra, differential equations, and an introductory course in probability or statistics. Prior experience with programming (for example Python, MATLAB or C++) is highly desirable.
Admission decisions are based on the overall academic record, transcripts, a personal statement describing your background and goals, and references. International applicants must meet the university’s English language proficiency requirements. Some applicants may be required to undertake preparatory or bridging modules if their background is missing key foundational topics.
Graduates are equipped for a wide range of roles where strong quantitative and computational skills are required. Common career paths include data scientist, quantitative analyst, operations researcher, numerical modeller, software engineer for scientific applications, and roles in engineering firms, finance, insurance, pharmaceuticals and technology companies.
Other opportunities include positions in government research laboratories, consulting, and continuing to doctoral study in applied mathematics, computational science or related fields. The programme’s emphasis on practical modelling and computing makes graduates attractive to employers who need staff able to translate mathematical methods into deployable solutions.
St. John’s University offers a personalised learning environment with access to faculty active in applied and computational research. Students benefit from small class sizes, direct mentorship and opportunities to work on real-world projects that link mathematics with engineering, finance and data science applications.
The university’s location provides proximity to a diverse range of industries and internship possibilities, and there are campus resources such as computing facilities, career services and research seminars that support professional development. The programme is designed to balance rigorous theory with applied training so graduates leave prepared for both industry roles and further academic study.
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