Graduate Certificate in Applied Health Outcomes and Artificial Intelligence

The Applied Health Outcomes and Artificial Intelligence Graduate Certificate in the School of Pharmacy at Temple University is an online, 12-credit program that prepares students for expertise in health outcomes assessments through real-world evidence evaluations, economic value assessment, and contemporary analytical approaches including artificial intelligence (AI) and machine learning (ML) methods. 

The program is designed specifically for working professionals, graduate students and professional pharmacy students who are looking to build practical expertise in evidence generation, healthcare decision science and data-driven evaluation. 

Why study applied health outcomes and AI in the School of Pharmacy at Temple? 

Growth and changes in healthcare and life sciences landscape have created a clear need for professionals who understand how to work with real-world evidence; interpret digital health data; and appropriately apply AI methods in clinical, economic and patient-centered outcomes research.  

As the field evolves, a workforce capable of navigating real-world data, regulatory expectations and digital health ecosystems is urgently needed. This graduate program uniquely integrates health outcomes research with AI and ML competencies, and it is grounded in an innovative and practice-ready curriculum to prepare professionals who can generate, interpret and apply evidence in an increasingly data-rich healthcare environment.  

With a focus on analytical literacy and applied interpretation, coursework helps students understand how AI-enabled evidence is generated, how to critically evaluate it and how to incorporate it into decision-making frameworks used across healthcare environments. 

Program Format and Curriculum 

The Applied Health Outcomes and AI curriculum is structured around four three-credit graduate courses delivered online through a blend of asynchronous instruction and synchronous engagement through office hours and one-on-one consulting with faculty. 

Students may complete the program within one academic year or over two years on a part-time basis. Graduates will be prepared for a wide range of roles, including health economics and outcomes research, medical affairs, market access, and real-world evidence analytics. 

First-year students will complete the following courses in the fall. 

• Foundations of Health Outcomes and Real-World Evidence (3 credits)
• Machine Learning and Predictive Analytics in Health Outcomes (3 credits)
• Economic and Value Assessment for Health Outcomes (3 credits)
• Patient Outcomes and Digital Health (3 credits)

Faculty Expertise

Applied Health Outcomes and AI faculty are leaders in the following fields.

• Health economics and value assessment
• Pharmacoepidemiology
• Artificial intelligence and machine learning
• Data science
• Real-world evidence
• Digital health analytics
• Health outcomes research
• Health economics
• Public/population health 

Program Contact

Usha Sambamoorthi, PhD, MBA, Professor and Associate Dean of the Applied Health Outcomes and Artificial Intelligence Graduate Certificate program
Email: [click-for-email]