University of North Florida

What you'll study

The programme combines core training in statistics, programming and database technologies with applied topics in machine learning, predictive analytics and data visualisation. Typical modules include data management and relational databases, statistical inference and multivariate analysis, machine learning for predictive modelling, big data technologies and distributed computing, data visualisation and communication, and applied analytics methodologies.

Students undertake hands-on coursework using tools and languages commonly used in industry such as Python, R, SQL and contemporary big-data platforms. The degree emphasises project-based learning: students complete applied labs and a culminating capstone or practicum project that requires cleaning, analysing and presenting real-world datasets. Elective options allow focus on areas such as text analytics, time-series forecasting, business intelligence, or domain applications in health, finance and logistics.

Entry requirements

Applicants should hold a bachelor’s degree from an accredited institution. Admissions typically consider prior academic performance, transcripts and any quantitative coursework in mathematics, statistics or computing. Applicants who do not have a strong computing background may be asked to complete prerequisite courses in programming or introductory statistics.

Required application materials usually include a completed application, official transcripts, a statement of purpose explaining professional goals, and a current CV or résumé. Some applicants may be asked for letters of recommendation. International applicants must demonstrate English language proficiency in line with university policy. Standardised tests are subject to department policy and may not be required in all cases.

Career prospects

Graduates are prepared for a range of analytical and technical roles, including data analyst, data scientist, business intelligence analyst, data engineer and analytics consultant. The skills gained—statistical modelling, machine learning, data engineering and visual communication—are applicable across sectors such as finance, healthcare, logistics, retail, government and technology.

Many students secure internships and employment with regional employers in the Jacksonville area as well as national and international firms. The programme’s applied capstone projects provide portfolio-ready work that helps graduates demonstrate practical abilities to prospective employers.

Why study at University of North Florida

UNF offers a professionally oriented Master’s in Data Analytics with an emphasis on applied, experiential learning and industry-relevant tools. Located in Jacksonville, the university provides proximity to a diverse regional economy that offers internship and employment opportunities in finance, healthcare, logistics and technology.

Students benefit from relatively small class sizes, faculty who teach applied analytics and maintain connections with local industry, and access to computing resources and collaborative project opportunities. Flexible delivery options, including evening and online courses where available, make the programme accessible to working professionals seeking to advance or change their careers in data analytics.