The Master of Science (MS) in Statistics at Stony Brook University provides a strong foundation in statistical theory and methods. This program is designed to equip students with the analytical and computational skills necessary to tackle complex problems in various fields that rely on data analysis and statistical modeling. The curriculum emphasizes both theoretical understanding and practical application, preparing graduates for advanced roles in research and industry. Students will engage with core statistical concepts, learn various data analysis techniques, and gain experience in statistical computing. The program offers flexibility through elective courses, allowing students to specialize in areas of interest such as machine learning, quantitative finance, or data science. The faculty comprises experienced professors with diverse research interests, contributing to a rich academic environment. Graduates are well-prepared for careers requiring advanced statistical expertise.
The MS in Statistics program requires 10 courses (30 credits) and does not include a thesis. Students typically complete the degree in three semesters (Fall, Spring, Fall).
Graduates with an MS in Statistics are well-prepared for a variety of roles in data-driven fields. The skills acquired in statistical modeling, data analysis, and computational methods are highly sought after in many industries.
International students applying for graduate programs should refer to the Graduate School admissions requirements. Eligibility to be a Teaching Assistant (TA) has specific TOEFL/IELTS speaking score requirements.
Tuition and fee rates are subject to change. The provided figures are for the Professional Program of Medicine and may not directly reflect the MS in Statistics. International students should consult the university's financial services for precise costs.