Master in Statistics, M.A.

University of South Florida (USF) in Tampa, founded in 1956, is a large, urban public research university with a dynamic and diverse student body of nearly 50,000. USF’s location in a vibrant metropolitan area blends academic life with internship and employment possibilities across finance, healthcare, technology, and the creative industries. The campus is known for its research intensity and community partnerships that connect students to real-world challenges.

USF provides an extensive range of academic programs—about 460 offerings—across undergraduate, graduate, and professional levels, enabling students to pursue interdisciplinary pathways and specialized study. The international community of nearly 4,700 students benefits from comprehensive services including dedicated international advising, language support, orientation, and cultural programming. Strong co-op and internship networks help translate academic learning into career outcomes.

Prospective international students will find a supportive environment with scholarship options, career development centers, and resources for housing and health services. Tampa’s diverse economy offers numerous experiential learning and employment opportunities, while USF’s emphasis on research and innovation supports students aiming for graduate study or industry roles. USF is well suited for students who want a metropolitan university experience with extensive academic and professional resources.

The Master in Statistics, M.A. at University of South Florida is for students who want to learn about data analysis and statistical methods. This 1-2 year Master degree helps students develop skills in data collection, analysis, and interpretation. The program is taught in English and takes place on campus.

The curriculum includes subjects like statistical theory, data mining, and machine learning. Students develop skills in programming languages like R or Python, as well as data visualization and communication. The program also includes hands-on components like research projects and data analysis exercises.

Graduates can work as data analysts, biostatisticians, or statistical consultants. They can also find jobs as data scientists, research assistants, or quality control specialists. Some potential employers include pharmaceutical companies, government agencies, and private research firms.