Biostatistics Training
Harvard T.H. Chan School of Public Health offers a 60-credit master of science program in applied biostatistics. This program is designed to prepare students for applied research positions in hospitals and universities, research organizations, and the pharmaceutical and biotechnology industries. The program is geared toward students with an undergraduate degree in one of the mathematical sciences or an allied field. In addition to course work, students complete a collaborative research practicum related to the design, conduct, and analysis of research studies with a focus on data analysis and scientific research. Students conclude their course of study by completing a thesis and making an oral presentation.
The Harvard T.H. Chan School of Public Health Biostatistics Department offers training in statistical theory and a variety of methods commonly used in the field of biostatistics, including probability, statistical inference, statistical methods, linear and logistic regression, survival analysis, longitudinal analysis, clinical trials, statistical genetics, computational biology, health decision sciences, and related areas.
For more information about this program, please visit the Biostatistics Student Handbook [PDF].
Biostatistics Continuing Education
The Harvard Catalyst Biostatistics Program presents seminars on current applied topics in biostatistics, including journal club and work in progress sessions, seminar series, symposia, and short courses.
Audience
Master’s degree in applied biostatistics at Harvard T.H. Chan School of Public Health.
We believe that the research community is strengthened by understanding how a number of factors including gender identity, sexual orientation, race and ethnicity, socioeconomic status, culture, religion, national origin, language, disability, and age shape the environment in which we live and work, affect each of our personal identities, and impacts all areas of human health.
Eligibility
Bachelor’s degree in one of the mathematical sciences or an allied field.