Florida International University

What you'll study

This master’s combines theory and applied techniques from optimisation, stochastic modelling, statistics and computing to support managerial decision making. Core topics typically include deterministic and stochastic optimisation, simulation modelling, statistical inference and predictive analytics, decision analysis, and mathematical modelling for operations.

• Optimisation and Operations Research – linear, integer and nonlinear programming; network models; sensitivity analysis.
• Stochastic Models and Simulation – Markov processes, queuing theory, Monte Carlo simulation for systems analysis.
• Statistics and Predictive Analytics – regression, time series forecasting, classification methods and model validation.
• Computational Methods – numerical methods, algorithm design, optimisation software and programming for analytics (commonly using languages such as Python, R or MATLAB).
• Decision Analytics and Risk – decision trees, utility theory, risk assessment and multi-criteria decision making.
• Electives and Applied Projects – students can typically choose electives in supply chain analytics, financial engineering, healthcare operations, data mining or machine learning, and often complete a practicum or capstone project with industry or faculty-led research.

Programme structure is usually modular with a mixture of core courses, electives and a culminating applied experience. Coursework emphasises hands-on problem solving, use of contemporary software tools and integration of quantitative results into managerial recommendations.

Entry requirements

Applicants normally need a recognised bachelor’s degree. Successful candidates typically hold degrees in quantitative disciplines such as mathematics, statistics, engineering, computer science, economics or business with substantial quantitative coursework. Admissions commonly consider undergraduate GPA, letters of recommendation, a statement of purpose outlining quantitative preparation and career objectives, and a resume.

Some programmes may request standardised test scores (for example GRE or GMAT) depending on applicant background; applicants with extensive quantitative coursework or professional experience may be considered without scores. International applicants must demonstrate English proficiency through an accepted test unless exempt by prior education in English.

Prior exposure to calculus, linear algebra, probability and basic programming is usually expected. Candidates lacking specific prerequisites may be advised to take preparatory coursework before or during the programme.

Career prospects

Graduates enter a wide range of analytical and management roles across industries. Typical job titles include data analyst, operations research analyst, quantitative analyst, supply chain analyst, business analyst, forecasting analyst, and analytics consultant. Graduates work in sectors such as finance, logistics and supply chain, healthcare, consulting, manufacturing, public sector and technology.

The programme also provides preparation for further study at the PhD level for those interested in academic or advanced research careers in management science, statistics or operations research.

Why study at Florida International University

Florida International University offers access to a diverse, international business environment in Miami, which provides strong connections to firms across finance, logistics, tourism and healthcare. Students benefit from faculty with applied research interests in optimisation, analytics and operations, and from opportunities to engage in industry projects, internships and local partnerships.

The university’s resources typically include computing labs, statistical and optimisation software, and career services that support placement in regional and national firms. The programme’s emphasis on applied quantitative methods and real-world projects helps graduates develop practical skills sought by employers in analytics and operations roles.