Curriculum

College

Population Health

Degree Earned

Master of Science

Program Type

Online

Program Contact

Name: Karen Walsh, MS, MBA
Position: Program Director
Telephone: 215-955-7312

Admissions Contact

Name: April Smith
Position: Admissions and Recruitment Manager

901 Walnut Street, 10th Floor
Philadelphia, PA 19107

Telephone: 215-503-5305

Courses

Graduate Certificate
  • POP 500: Essentials of Population Health*
  • AHE 509: Epidemiology & Evidence for Outcomes Research in Population Health
  • AHE 511: Advanced Statistics for AHEOR
  • PHI 501: Health Informatics & Analytics
  • PHI 518: Data Science
Master’s Degree (above plus)
  • PHI 605: Advanced Statistics for Data Analytics
  • PHI 516: Specialized Data Topics
  • PHI 532: Data Presentation Architecture
  • PHI 538: Implementation Science
  • PHI 527: Analytics Leadership
  • PHI 650: Capstone Seminar & Project

*Waived for graduates of our Population Health Academy

The capstone project is designed by the student and is tailored to his/her career trajectory. 

Program Outcomes

The PHI 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  
  • Identify and respond to socio-economic, environmental, and behavioral determinants of health
  • Apply epidemiological research methods to identify factors affecting patient care and health outcomes
  • Explores the vital roles of data, information, and information systems in the implementation and evaluation of Population Health initiatives, and value-based care initiatives
  • Evaluate and apply various multivariate statistical analysis techniques for various study designs of efficiency and effectiveness in healthcare and population health
  • Provides a comprehensive overview of data science, the practice of obtaining, modeling and interpreting data
Master’s Degree (above plus)
  • Develop a strategy for identifying and integrating disparate, non-health, and population-level data into clinical decision-making
  • Addresses implementation science and presents a multidisciplinary framework and methodology to promote the integration of scientific evidence into healthcare practice, policy and research
  • Explain the role of quantitative and qualitative methods and sciences in describing and assessing a population’s health
  • Analyze quantitative data using statistics, informatics and computer-based programming
  • Adopt data visualization techniques that contribute to effective presentations and population health management dashboards
  • Apply management and leadership skills to data-driven decision-making