The mission of the VCU Department of Biostatistics is to improve human health through methodological research, the education of graduate students and health science researchers in biostatistical methods and applications, and collaborative health sciences research. Faculty members conduct methodological research motivated by collaborative alliances, which in turn contributes to and enhances the department’s educational mission. By focusing on the integration of methodological and collaborative research, students develop strong biostatistical and communication skills, enabling them to assume leadership positions in academia, government and industry. Student learning outcomes This training program is designed to help students achieve the following learning outcomes: Develop new (or extend existing) biostatistical methods through scholarly peer-reviewed publications that contribute to and expand the biostatistical research literature Effectively collaborate with both biostatistical and health science researchers to plan and design research studies and analyze data from a broad spectrum of research questions Apply standard computational and analytic procedures to demonstrate the ability to solve new and complex problems and develop fluency in a minimum of two computational languages Explain biostatistical concepts, methods and results to both biostatistical and non-biostatistical health sciences researchers using exceptional written and oral communication skills
Hangi bölümdeyim?
School of Medicine
Öğrenim seçenekleri
Full Time
(9 sömestr)
Okul ücreti
US$29,470.00 (TRY 1,012,645)
Yıllık
Food and housing - 19,724 Annual
Başvuru Tarihi
01/12/2026
Başlangıç tarihi
Ağustos 2027
Yer
Virginia Commonwealth University- Monroe Park Campus
707 W. Broad St.,
Richmond,
Virginia,
23284, United States
Giriş koşulları
Uluslararası öğrenciler için
In addition to the general admission requirements of the VCU Graduate School, applicants must complete the verbal, quantitative and analytical writing sections of the Graduate Record Exam. The following mathematics courses or their equivalents are required for admission: MATH 307, MATH 310, STAT 309 and STAT 212. MATH 507 and an additional graduate-level math analysis course are recommended for students interested in completing the Ph.D. program.
Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.