Applied Health Outcomes and Artificial Intelligence Certificate, Temple University
Funding Opportunity posted by Kelsey Middleton
Description:
Temple University School of Pharmacy's Graduate Certificate in Applied Health Outcomes and Artificial Intelligence (AI) prepares graduates to lead in today's data-driven healthcare environment. This fully online, 12-credit program combines foundational health outcomes research with practical applications of artificial intelligence and machine learning, equipping learners to evaluate real-world evidence, assess clinical and economic value, and generate insights that support healthcare decision-making.
Designed for working professionals, PharmD students, and graduate-level learners, the flexible program emphasizes practical application over technical programming. Students gain hands-on experience interpreting complex healthcare data, applying AI-enabled analytical approaches, and communicating findings to diverse stakeholders while working with real-world datasets, including electronic health records and digital health technologies.
The certificate consists of four required online courses:
- Foundations of Health Outcomes and Real-World Evidence
- Machine Learning and Predictive Analytics in Health Outcomes
- Economic and Value Assessment for Health Outcomes
- Patient Outcomes and Digital Health
Graduates are prepared for roles involving health outcomes and value-focused decision support, interpretation of clinical, economic, and patient-centered evidence, evaluation of AI-enabled healthcare tools, and support of payer, provider, industry, or policy decision-making.
Application Requirements
Applicants should hold a bachelor's degree in a related field (3.0 GPA preferred, with holistic review for those with significant professional or research experience). Required materials include:
- Two letters of recommendation
- Official transcripts
- Resume or CV
- 300–500 word statement of goals
- English proficiency test scores (for applicable international applicants)
Applications are reviewed on a rolling basis, with most admission decisions issued within 2–3 weeks after all materials are received.
Closing Date
Sep 30, 2026