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At the intersection of data and health lies a highly dynamic and rapidly expanding field in need of skilled leaders—biostatistics.
Program Overview
Program Overview
At the Brown University School of Public Health, our goal in creating the online Master of Biostatistics, Health Data Science program is simple and ambitious: To equip the next generation of public health leaders with a strong foundation in biostatistical and health data science methods, in combination with rigorous training in applied skills to meet the growing demands for leaders in this industry.
As students in online Biostatistics, Health Data Science program, you are entering a program that was intentionally designed by Brown's School of Public Health to expand their internationally recognized Sc.M. in Biostatistics to a wider range of students, and further reinforce SPH's existing commitment to interdisciplinary work, education, and equity. As you begin this 9-course program, you will have many opportunities to collaborate with your peers who have diverse backgrounds and are located all over the world, while simultaneously being exposed to learning opportunities from industry leaders and experts who are bringing real-world experience to the virtual classroom. This program will also provide you with ample opportunities to connect with Brown's vast network of faculty as well as alumni engaged in various types of industries.
Program Outcomes
Program Outcomes
Students who complete the online Sc.M. in Biostatistics, Health Data Science program at Brown can expect to:
Use statistical concepts and methods to describe and draw scientific inferences from biomedical and health-related data at both the individual and population levels.
Form proper statistical hypotheses based on research questions to guide clinical or public health investigations.
Identify and apply appropriate statistical methods to analyze data of different types and structures.
Select and design appropriate studies and/or sampling mechanisms needed to address research questions, and meet scientific and inferential objectives.
Use statistical software for data management, implementation of comprehensive statistical analysis, and presentation of results.
Write a report of comprehensive and novel statistical analysis of public health data.
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