Florida Polytechnic University

What you'll study

This programme combines core mathematics and computer science with applied courses in statistics, data management and machine learning. Students study programming for data analysis (commonly Python and SQL), probability and inferential statistics, data visualisation, database design, and introductory machine learning techniques. Coursework emphasises practical skills: cleaning and preparing data, exploratory data analysis, building predictive models, and presenting results to non-technical audiences.

• Foundations: calculus, linear algebra, discrete mathematics and introductory programming.
• Core analytics: probability and statistics, applied regression, time series analysis, experimental design.
• Data engineering and databases: relational databases, SQL, data warehousing, basics of big data platforms.
• Machine learning and modelling: supervised and unsupervised learning, model evaluation, feature engineering.
• Visualisation and communication: dashboarding, storytelling with data, use of visualisation libraries and tools.
• Capstone and projects: team-based, industry or faculty-sponsored projects that apply the full analytic workflow from problem definition to deployment and presentation.

Entry requirements

Applicants are typically expected to hold a recognised secondary school completion certificate with solid preparation in mathematics. Successful candidates usually have coursework in algebra, precalculus or calculus, and evidence of logical or computational aptitude is advantageous.

• Academic transcripts demonstrating strong performance in mathematics and related subjects.
• Preparation in programming or computer science is recommended; applicants without this may be asked to take foundation modules.
• Personal statement or essays that show interest in data analytics and problem solving.
• International applicants must meet the university's English language requirements.
• Additional materials such as letters of recommendation, a portfolio of relevant projects, or placement testing may be requested depending on the applicant's background.

Career prospects

Graduates are prepared for roles that require turning data into insight, working across sectors such as technology, finance, healthcare, retail, manufacturing and government. Typical job titles include data analyst, business analyst, analytics consultant, data engineer and junior data scientist. The programme also provides a strong foundation for further study at the master’s level or for professional certification in analytics and cloud technologies.

• Entry-level analytics positions: data analyst, reporting analyst, business intelligence analyst.
• Technical roles that build on the degree: data engineer, analytics developer, machine learning operations support.
• Career progression into specialised roles: data scientist, analytics manager, domain-specific analytics lead (for example, healthcare or marketing analytics).
• Opportunities in applied research or graduate study in fields such as data science, statistics, computer science or AI.

Why study at Florida Polytechnic University

Florida Polytechnic University is a STEM-focused public university with a curriculum designed around applied technology and engineering disciplines. The institution emphasises project-based learning, small class sizes and close interaction with faculty who have industry experience.

• Applied learning: coursework and capstone projects geared to real-world problems, often in collaboration with industry partners.
• Technology-focused environment: access to specialised labs, computing resources and modern analytics tools used in industry.
• Industry connections: partnerships and internship opportunities with regional and national employers help students gain practical experience and professional networks.
• Supportive student experience: academic advising and career services that focus on placement in technical roles and preparation for graduate study.