Florida International University

What you'll study

The programme combines rigorous mathematical theory with computational practice. Core themes include ordinary and partial differential equations, numerical analysis, scientific computing, optimisation, stochastic processes and mathematical modelling. Students also study applied topics such as data analysis, machine learning methods for scientists, inverse problems, and dynamical systems depending on electives offered.

Typical modules and course activities cover:

• Advanced methods for solving ODEs and PDEs, stability and qualitative analysis
• Numerical linear algebra, finite element/finite difference methods and error analysis
• Computational techniques using high‑level programming (e.g. Python, MATLAB) and access to high‑performance computing resources
• Probability, stochastic modelling and statistical methods for uncertainty quantification
• Optimisation, control theory and applied inverse problems
• Project work or a research thesis applying mathematical tools to problems in engineering, physics, biology, finance or data science

The programme is typically offered with both thesis and non‑thesis options. The thesis route emphasises original research and is suitable for students planning to pursue a PhD, while the coursework/project route focuses on advanced training and practical applications for immediate employment.

Entry requirements

Applicants are normally expected to hold a bachelor’s degree in mathematics, applied mathematics, statistics, engineering, physics, computer science or a closely related quantitative field, with strong performance in mathematics coursework (calculus, linear algebra, differential equations, and mathematical modelling). Departments may expect evidence of programming competence or willingness to undertake preparatory work.

Application materials generally include official transcripts, a statement of purpose describing academic and professional goals, and letters of recommendation. Some applicants may be asked to provide graduate test scores if required by the department; applicants should check the programme page for current testing policies. International applicants must demonstrate English language proficiency in line with university requirements.

Career prospects

Graduates with an MS in Applied Mathematics are prepared for quantitative roles across many sectors. Common career paths include:

• Data scientist or data analyst roles in technology, finance and consulting
• Quantitative analyst / modelling specialist in banking and insurance
• Computational scientist or numerical analyst in engineering, energy and aerospace
• Operations research analyst focusing on optimisation and logistics
• Biostatistician or modeller in healthcare and pharmaceutical research
• Further academic study leading to doctoral research and university positions

Graduates benefit from training in both theory and computation, making them attractive to employers who need candidates able to bridge mathematics and practical implementation.

Why study at Florida International University

Florida International University offers an applied mathematics programme embedded in a research‑active environment with interdisciplinary collaboration across engineering, computer science, life sciences and business. Students can access university computing resources and faculty expertise in numerical analysis, modelling and data‑driven methods.

The university's Miami location provides proximity to a diverse range of industries—technology firms, finance, healthcare, logistics and government agencies—creating opportunities for internships, applied projects and local partnerships. The programme’s flexible thesis and non‑thesis tracks accommodate those aiming for industry employment as well as those preparing for doctoral study.

Faculty mentorship, research seminars and chances to work on collaborative projects help students build a portfolio of applied work and computational experience that supports immediate employment or continued research training.