卫生数据科学理学硕士（SM）旨在提供严格的定量培训以及管理和分析卫生科学数据以解决公共卫生和生物医学重要问题所需的基本统计和计算技能。这项为期16个月的计划融合了强大的统计和计算培训，以解决公共卫生和生物医学领域新兴的问题。该培训将使学生能够管理和分析大量嘈杂的数据集，并学习如何解释其发现。该计划将提供有关健康数据科学的三个主要支柱的培训：统计，计算和健康科学。
The Master of Science (SM) in Health Data Science is designed to provide rigorous quantitative training and essential statistical and computing skills needed to manage and analyze health science data to address important questions in public health and biomedical sciences. The 16-month program blends strong statistical and computational training to solve emerging problems in public health and the biomedical sciences. This training will enable students to manage and analyze massive, noisy data sets and learn how to interpret their findings. The program will provide training in three principal pillars of health data science: statistics, computing, and health sciences. The SM in Health Data Science is designed to be a terminal professional degree, giving students essential skills for the job market. At the same time, it provides a strong foundation for students interested in obtaining a PhD in biostatistics or other quantitative or computational science with an emphasis in data science and its applications in health science.