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Boston University School of Public Health Doctor of Philosophy in Biostatistics

Boston University School of Public Health

Doctor of Philosophy in Biostatistics

Boston, USA

32 up to 64 Hours

English

Full time, Part time

Request application deadline

Sep 2024

On-Campus

Key Summary

    About: The Doctor of Philosophy (PhD) in Biostatistics focuses on advanced statistical techniques and their application in health-related research. Students will engage in in-depth research and statistical analysis, equipping themselves with the skills needed to address real-world public health issues through quantitative methods. The course emphasizes the integration of biostatistics with epidemiology and clinical research, fostering a strong analytical foundation for tackling complex health problems.
    Career Outcomes: Graduates can pursue various career paths, including positions as biostatisticians, data analysts, and researchers in academic institutions, government agencies, and healthcare organizations. They may also work in pharmaceutical companies, public health organizations, or private research firms, contributing to evidence-based health policy and decision-making.

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Introduction

The PhD in Biostatistics is jointly administered by the Department of Biostatistics at the School of Public Health and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. The program is geared toward the graduate student who seeks a career as a professional, academic, or industrial biostatistician in biomedical or epidemiologic sciences. The program meets the health professional's needs who wish to continue with public health training and achieve a higher and more specialized degree and the statistician who wishes to specialize in statistical methods for biomedical or epidemiologic applications.

Students who complete the PhD program will gain knowledge in probability, statistical inference, and hypothesis testing, the design and conduct of experimental and epidemiological studies, statistical computation, and data analysis. The faculty's research interests include multivariate analysis, survival analysis, medical statistics, clinical trials methodology, statistical genetics, surveillance, robust statistics, longitudinal data analysis, time series, regression, estimation theory, and the design of experiments.

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