Health Data Science is an ever-evolving multi-disciplinary field that involves using statistical inference, algorithmic development, and technology to make insights about data.
The Master’s of Science (MS) builds upon the foundation concepts presented in the Graduate Certificate and focuses on the advanced application of HDS concepts necessary for the applied practice of health data science in industry and research settings. This option contains 10 online courses and a capstone project, which is specificially designed to enhance the student's career trajectory. This option can be completed in two years.
Learn more about the program here.
Submissions from 2025
The Use of an Etiometry® Clinical Pathway to Improve Saturations of ELGANs Remaining within Target Parameters, Brian Barnette, MD
Identifying Migraine in Primary Care Workflows: Prevalence, Risk Signals, and Predictive Tools, Taylor P. Ikner
Big Data Pipelines: Curating a Surgical Data Set for Deep Learning, Sean P. Murphy II
Exploring the Relationship Between Health-Related Social Needs (HRSNs) and Chronic Conditions among Jefferson Health Patients, Yesenia Sharon
Submissions from 2023
Medicare Shared Savings Program: Key Factors Triggering Success, Guorong Li, MS, MBA
Submissions from 2022
The Impact of Social Determinants of Health on Fast-Glucose Levels, Jennifer Haley, PharmD
Submissions from 2021
Analysis of Medicare Shared Savings Program Performance: Keystone ACO, Christina Flaherty, RN
Application of Data Visualization, Data Science and Artificial Intelligence at a Community Hospital, Irshad Siddiqui, MD
Low Sodium Diet Impact on Hypertension Patients, Connor Skeehan
