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.

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Submissions from 2025

 

The Use of an Etiometry® Clinical Pathway to Improve Saturations of ELGANs Remaining within Target Parameters, Brian Barnette, MD

 

Evaluating the Effectiveness of Invasive vs. Non-Invasive Treatment Modalities in Small Cell Lung Cancer: A Comparative Outcomes Analysis, Markel Jones

 

Big Data Pipelines: Curating a Surgical Data Set for Deep Learning, Sean P. Murphy II

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

 

Predictors of Healthcare Utilization in Patients with Diabetes: Comparing Traditional Statistical Methods to Supervised Machine Learning Approaches, Dexter Waters