Florida Polytechnic University

What you'll study

This programme blends mathematics, statistics, computer science and management to give students the quantitative tools and business context needed to make informed organisational decisions. Coursework emphasises modelling, data analysis, optimisation and simulation alongside management fundamentals.

• Foundations: calculus, linear algebra, probability and mathematical reasoning to provide the theoretical base for quantitative methods.
• Statistics and Data Analysis: statistical inference, regression, time series, experimental design and applied data analysis using statistical software (commonly R and Python).
• Operations Research and Optimisation: deterministic and stochastic modelling, linear and nonlinear optimisation, integer programming, network flows and queuing theory.
• Computational Methods and Programming: algorithm design, numerical methods, database fundamentals, data structures and practical programming skills for data processing and model implementation.
• Simulation and Decision Analysis: Monte Carlo simulation, discrete-event simulation, decision trees, risk analysis and scenario planning.
• Management and Business Core: principles of management, organisational behaviour, microeconomics/managerial economics, project management and business communication to apply quantitative findings in organisational settings.
• Electives and Specialisations: options often include supply chain analytics, healthcare operations, financial engineering, machine learning for business, and data visualisation.
• Capstone project and experiential learning: a team-based senior project or practicum that integrates quantitative methods with a real-world management problem; internships and industry collaborations are strongly encouraged.

Entry requirements

Applicants are expected to have a strong background in mathematics. Typical requirements include a completed secondary school qualification with substantial preparation in algebra and precalculus or calculus. Suggested preparation includes calculus, statistics and familiarity with algebraic reasoning.

• Domestic applicants: a high school diploma with competitive academic performance; preparation in calculus and advanced mathematics is recommended. Standardised test scores (when submitted) and a demonstrated quantitative record are considered.
• International applicants: an equivalent secondary qualification with strong achievement in mathematics; proof of English language proficiency if English is not the applicant's first language.
• Transfer and non-traditional students: college-level coursework in calculus, statistics or related quantitative subjects is typically required for transfer credit evaluation.
• Additional considerations: applicants with demonstrated programming experience, coursework in economics or business, and relevant extracurricular activities or internships will strengthen their application. Placement testing may be required for course sequencing in mathematics.

Career prospects

Graduates are prepared for roles that require quantitative analysis, modelling and data-driven decision making across industries. Common career paths include:

• Data analyst, business analyst or analytics specialist in finance, retail, technology and government.
• Operations analyst or supply chain analyst focusing on process improvement, scheduling and logistics.
• Quantitative risk analyst in insurance, banking or corporate risk management.
• Consultant roles in management consulting firms that specialise in data-driven strategy and operational performance.
• Positions in healthcare analytics, energy systems modelling, transportation planning and other applied domains where optimisation and simulation are used.

Graduates may also continue to postgraduate study in analytics, operations research, applied mathematics, statistics, business analytics or related fields.

Why study at Florida Polytechnic University

Florida Polytechnic University is a STEM-focused university with small class sizes and a project-based learning culture that emphasises hands-on experience and close faculty mentoring. The institution’s curriculum integrates computing and engineering thinking, making it well-suited for quantitative management education.

• Applied learning: strong emphasis on labs, capstone projects and industry-sponsored problems that let students apply quantitative methods to real challenges.
• Technology and facilities: access to computing resources, modelling and simulation tools, and specialised software commonly used in analytics and optimisation.
• Industry connections: partnerships and internship opportunities with regional and national employers in technology, logistics, manufacturing and finance.
• Career support: university career services that help students with internships, employer networking and preparation for analytic and consulting roles.

These features make Florida Poly a pragmatic choice for students seeking a rigorous, tech-centred undergraduate programme in management sciences and quantitative methods.