Biostatistics
We create and apply methods for quantitative research in the health sciences, and we provide innovative biostatistics education, making discoveries to improve health.
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Biostatistics Headlines
![Nora Elhaissouni](/sites/default/files/styles/card_image/public/2024-04/noraelhaissouni.jpg?h=f7026c63&itok=wSnHUH5l)
Student Spotlight: Nora Elhaissouni
Nora Elhaissouni is a ScM student in the Department of Biostatistics with an interest in child and maternal healthcare. She previously double majored in Biology and Child Study and Human Development at Tufts University.
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Biostatistics Faculty Recognized for 'Excellence in Teaching'
Bloomberg students recognize faculty who have contributed significantly to the intellectual life of the School through their excellence in teaching.
![Lily Koffman](/sites/default/files/styles/card_image/public/2024-04/lilykoffman.jpg?h=f7026c63&itok=PavtW0T8)
Student Spotlight: Lily Koffman
Lily Koffman is a PhD candidate in the Department of Biostatistics. She was previously a WiST (Women in Sports Tech, Inc.) Summer Fellow, and a High Performance Intern at U.S. Ski & Snowboard.
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.
John McGready, PhD '08, ScM
shares the joy, importance, and utility of biostatistics with students, and works closely with faculty and clinicians on public-health research. He is a seven-time Golden Apple winner, and a two-time AMTRA (Advising, Mentoring, and Teaching Recognition Award) winner. These awards are given out each year by the Bloomberg Student Assembly.
![John McGready](/sites/default/files/styles/image_component/public/2024-05/johnmcgready.jpg?h=f2fcf546&itok=FGQJWhJO)
Biostatistics Consulting Center
The Johns Hopkins Biostatistics Center is the practice arm of our Department, providing the latest in biostatistical and information science expertise to a wide range of clients both within and outside Johns Hopkins.
![group of hands reviewing documents](/sites/default/files/styles/image_component/public/2021-08/group-of-hands-reviewing-plans-1217833762.jpg?h=ca6532a2&itok=XI-uPGBK)
Lily Koffman, PhD candidate
Meet Lily Koffman, PhD candidate in the Department of Biostatistics. Lily began her PhD in 2021 and is part of our Department's Wearable and Implantable Technology (WIT) research working group.
![Lily Koffman](/sites/default/files/styles/image_component/public/2024-05/lilykoffman.jpg?h=ca6532a2&itok=riOfVEgl)
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