Florida Polytechnic University

What you'll study

The programme provides a strong foundation in calculus, linear algebra and mathematical proof, and then builds into applied topics and computational techniques. You will study a typical mix of core and elective modules including:

• Calculus sequence (single- and multivariable calculus)
• Linear Algebra and Matrix Theory
• Differential Equations (ordinary and partial)
• Real Analysis and Mathematical Proof
• Numerical Analysis and Scientific Computing
• Probability, Statistics and Statistical Inference
• Optimization and Operations Research
• Mathematical Modelling and Simulation
• Computational Methods using tools such as Python, MATLAB and R
• Electives in data science, machine learning, mathematical finance, dynamical systems or control theory
• Capstone project or senior thesis that applies mathematical techniques to an open-ended real-world problem

The curriculum emphasises hands-on computational work, model-building and communication of quantitative results. Many courses incorporate programming labs, data analysis projects and team-based assignments. Students can often customise their degree with a technical minor or elective concentration in areas such as computer science, engineering or business analytics.

Entry requirements

Applicants are expected to have a high school diploma or equivalent with a strong mathematics background. Typical entry expectations include:

• A record of high achievement in mathematics (including precalculus and preferably calculus)
• Strong grades in STEM subjects overall
• Submission of official secondary school transcripts; standardised test scores (SAT/ACT) may be considered where required by the university
• For international applicants, proof of English proficiency through recognised tests or approved alternatives

Advanced placement, International Baccalaureate or other recognised qualifications in mathematics can lead to credit or placement into higher-level courses. Prospective students who lack some prerequisites may be advised to take preparatory coursework before starting the core sequence.

Career prospects

Graduates with a BSc in Applied Mathematics are prepared for a wide range of quantitative roles across industry, government and academia. Common career paths include:

• Data analyst and data scientist roles, using statistical and computational techniques to extract insight from data
• Quantitative analyst or modelling roles in finance and insurance (actuarial careers often require additional professional exams)
• Operations research analyst, optimisation specialist or supply-chain modeller
• Software development and algorithm engineering roles that require strong mathematical foundations
• Engineering and technical roles that use simulation and numerical methods
• Further study at graduate level in applied mathematics, statistics, data science, engineering or related disciplines

Florida Polytechnic University’s industry connections and emphasis on applied, computational experience help graduates demonstrate practical skills sought by employers, such as programming, numerical modelling and data visualisation.

Why study at Florida Polytechnic University

Florida Poly is a technology-focused public university with a curriculum designed around project-based, hands-on learning and close faculty collaboration. The Applied Mathematics programme benefits from small class sizes, extensive computing resources and an emphasis on applying mathematics to engineering, data science and real-world problems.

Students have access to modern labs, makerspaces and research opportunities and can engage with regional and national industry partners for internships and applied projects. The university’s career services focus on connecting STEM students with employers and supporting professional development, which helps bridge academic training and workplace readiness.

Overall, Florida Polytechnic University offers an environment well suited to students who want rigorous mathematical training coupled with practical, computational experience and direct exposure to technology-driven industries.