College
College of Population Health, Jefferson Online
Degree
Master of Science, Certificate
Format
Online
Duration
1 - 2 Years
Contact Information
Program
- Associate Professor
- Program Director
Curriculum
Courses
Graduate Certificate
- AHE 501: Economics of Health Insurance or
POP 500: Essentials of Population Health - AHE 502: Statistics I
- HDS 501: Health Informatics & Analytics
- HDS 518: Supervised Learning & Unsupervised Learning: Prediction & Classification
- HDS 532: Data Visualization
Master's Degree
Management Track
- AHE 501: Economics of Health Insurance or
POP 500: Essentials of Population Health - AHE 502: Statistics I
- AHE 505: Statistics II
- AHE 509: Epidemiology & Evidence for Outcomes Research
- HDS 501: Health Informatics & Analytics
- HDS 518: Supervised Learning & Unsupervised Learning: Prediction & Classification
- HDS 532: Data Visualization
- HDS 538: Implementation Science
- HDS 527: Analytics Leadership
- Elective in HDS or AHE (Program Director approval needed)
- HDS 652: Strategic Capstone Portfolio & Presentation
Research Track
- AHE 501: Economics of Health Insurance or
POP 500: Essentials of Population Health - AHE 502: Statistics I
- AHE 505: Statistics II
- HDS 500: Fundamentals of Data Wrangling
- HDS 501: Health Informatics & Analytics
- HDS 502: Exploratory Data Analysis & Unsupervised Learning
- HDS 518: Supervised Learning & Unsupervised Learning: Prediction & Classification
- HDS 519: Deep Learning & AI Systems
- HDS 532: Data Visualization
- Elective in HDS or AHE (Program Director approval needed)
- HDS 651 Capstone Research Project
Both tracks culminate in a Capstone Project which incorporates knowledge and skills gained through the Masters Program education. The Capstone should advance knowledge which can be applied to the studetn's discipline and/or organization.
For course descriptions, please view the Jefferson College of Population Health Course Descriptions page.
Program Outcomes
The HDS program prepares graduates to be successful in the ever-changing healthcare environment that is driven by data and analytics by preparing them to:
Graduate Certificate
- Explores the vital roles of data, information, and information systems in the implementation and evaluation of healthcare and value-based care initiatives
- Provides a comprehensive overview of data science, the practice of obtaining, modeling and interpreting data
- Adopt data visualization techniques that contribute to effective presentations and dashboards
- Provides a foundation for population health beginning with a working definition, incorporating public health science and policy.
Master’s Degree (above plus)
All Tracks
- Evaluate and apply multivariate statistical methodologies for various study designs of efficiency and effectiveness in healthcare
Management Track
- Apply management and leadership skills to data-driven decision-making and learn to communicate with technical and non-technical audiences
- Manage HDS projects in real-world healthcare settings
- Addresses implementation science and presents a multidisciplinary framework and methodology to promote the integration of scientific evidence into healthcare practice, policy and research
Research Track
- Learn key programming techniques for data wrangling, statistical modeling and predictive analytics
- Learn advanced data science methods including supervised and unsupervised learning algorithms
- Conduct HDS research in real-world healthcare settings