Master in Data Science and Engineering

Florida Atlantic University (FAU) in Boca Raton is a large public research university that blends strong academic offerings with a coastal campus environment. Founded in 1961, FAU serves a diverse student body across more than 200 programs spanning arts and sciences, engineering, business and health. Its South Florida location supports research in marine science, environmental studies and biotechnology, and gives students direct access to industry partners, internships and community engagement opportunities.

FAU emphasizes experiential learning and personalized support through advising, research centers and hands-on projects. Small to medium class sizes in many programs create close faculty-student interactions, while a wide range of student organizations and campus facilities nurture leadership and extracurricular growth. The university’s research infrastructure and partnerships provide pathways for applied work, recruitment and professional development in the region’s growing tech and health sectors.

International applicants will find FAU an attractive choice for career-focused education, with resources for global students and numerous academic pathways from undergraduate to graduate study. The university’s vibrant campus life, emphasis on employability and strong regional connections help graduates transition into work or advanced study. FAU suits students seeking an engaged, research-active institution with pragmatic support for career outcomes in a dynamic coastal setting.

The Master in Data Science and Engineering at Florida Atlantic University is a Master's degree for students who want to work with data. It lasts one year and helps students get hands-on experience and data analytics skills.

The program teaches students about data science and engineering, including skills like data analysis and machine learning. Students also learn about software engineering and computer science, which helps them develop problem-solving skills.

Graduates can work as Data Engineers, Data Analytics Scientists, Software Engineers, Machine Learning Engineers, or Market Analysts. They can work in various industries, including technology and finance, and for companies like Google or Microsoft.