
Biostatistics
We create and apply methods for quantitative research in the health sciences, and we provide innovative biostatistics education, making discoveries to improve health. The Johns Hopkins Bloomberg School of Public Health was ranked #1 in Biostatistics by peers in the 2025 U.S. News & World Report rankings.
Biostatistics Headlines

Faculty Spotlight: Abhirup Datta, PhD, MS
Abhirup Datta, PhD, MS, is an associate professor in Biostatistics, where he develops and applies statistical and machine learning methods to address substantive questions in environmental health, climate sciences, and global health research.

The Science and Soul of Public Health
Seven stories centered on moments small and big from journeys in lifesaving.

Student Spotlight: Jinqi Zhan
Jinqi Zhan is a MHS student in the Department of Biostatistics, while concurrently a PhD student in the Department of Epidemiology, with a focus on innovative clinical trial design.
Research Saves Lives
The Department of Biostatistics develops and applies methods to ensure that research across public health and medicine is accurate and can guide policy and practice. Our faculty, staff, postdocs, and students collaborate with health scientists across a range of areas to efficiently acquire knowledge, develop strategies for the prevention of diseases, and draw valid conclusions from ever-expanding sources of information.

Keep Big Data in the Fight Against Chronic Diseases
Cuts to NIH funding for biostatistical research would erode the United States' competitive edge, hindering the health, economy, and overall security of the nation.

The Science and Soul of Public Health
Seven stories centered on moments small and big from journeys in lifesaving.

Long-Running Surveys Help Researchers Track Trends in Aging
The Center on Aging and Health, one of Johns Hopkins University's largest recipients of NIH funds, conducts critical work that provides real-time insights into the condition and care of older Americans.
What We Do in the Department of Biostatistics
The Bloomberg School's Department of Biostatistics is the oldest department of its kind in the world and has long been considered one of the best. Our faculty conduct research across the spectrum of statistical science, from foundations of inference to the discovery of new methodologies for health applications.
Our designs and analytic methods enable health scientists and professionals across industries to efficiently acquire knowledge and draw valid conclusions from ever-expanding sources of information.
Biostatistics Highlights
First in U.S.
First freestanding statistics department in the U.S.
Impact
Data science driving health and empowering opportunity
Discovery
Foundational discoveries for inference and modeling
Community
Creative, close-knit community
Biostatistics Programs
The Department of Biostatistics offers three graduate programs to applicants with a bachelor's degree (or higher) interested in professional or academic careers at the interface of the statistical and health sciences.
We also have funded training programs in the Epidemiology and Biostatistics of Aging for PhD students who are U.S. citizens or permanent residents.
Master of Health Science (MHS)
Our one-year MHS program provides study in biostatistical theory & methods. It is also open to students concurrently enrolled in a JHU doctoral program.
Master of Science (ScM)
Our ScM targets individuals who have demonstrated prior excellence in quantitative or biological sciences and desire a career as a professional statistician.
Doctor of Philosophy (PhD)
Our PhD graduates lead research in the foundations of statistical reasoning, data science, and their application making discoveries to improve health.
Abhirup Datta, PhD, MS
Abhirup Datta, PhD, MS, is an associate professor in Biostatistics, where he develops and applies statistical and machine learning methods to address substantive questions in environmental health, climate sciences, and global health research.

Biostatistics Center
The Johns Hopkins Biostatistics Center (JHBC) provides comprehensive biostatistical and data management services for Bloomberg students as well as researchers inside and outside the Johns Hopkins community. JHBC is the go-to resource for support throughout the research lifecycle, including data collection systems, data management, programming, and data science.

Kinnary Shah
Kinnary Shah is a fourth-year PhD candidate in the Department of Biostatistics currently involved in two research projects, one with the Lieber Institute for Brain Development, where she is working on characterizing areas of the human brain using different transcriptomic technologies, and one with her adviser, Stephanie Hicks, focusing on developing a new statistical method to correct for a bias within spatial transcriptomics.
Kinnary Shah, a fourth-year PhD student in the Department of Biostatistics, focuses on developing new technology and characterizing areas of the human brain.
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