Health Data Science


The Health Data Science (HDS) area of study provides students with a blend of strong statistical and computational skills needed to manage and analyze health science data in order to address important questions in public health and 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 Master of Science (60-credits) in HDS is designed to be a terminal professional degree, giving students essential skills for the job market. HDS also 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. 

Department overview

The Department of Biostatistics offers an unparalleled environment to pursue research and education in statistical science while being at the forefront of efforts to benefit the health of populations worldwide.  

Degree programs

Student interests

Students who choose the Health Data Science (HDS) area of study are interested in visualizing and interpreting data, as well as effectively communicating results and findings. HDS students will learn to apply methods for big data to reveal patterns, trends, and associations. 

Career outcomes

The Master of Science (60-credits) HDS candidates receive a well-rounded curriculum that can be applied across a variety of disciplines for career growth. 

Graduates of the SM-60 HDS program have found employment as: 

  • Research analysts at consulting firms 
  • Program coordinators at community-based organizations 
  • Project directors at city, state, and federal health commissions 
  • Leaders at non-profit organizations