For professionals looking for a shorter introduction to the field, Jefferson also offers a health AI analytics advanced practice certificate. The three-course certificate provides foundational AI knowledge, and the credits can later be applied toward the master’s degree.
Part of Jefferson’s Broader AI Strategy
The new master’s program represents just one piece of Jefferson’s expanding commitment to AI education and fluency.
Earlier this year, Jefferson launched a handful of introductory, self-paced AI modules on Canvas for students. The site now features 13 curated LinkedIn Learning courses organized into three modules covering AI foundations, responsible AI practices and hands-on Microsoft Copilot skills, including prompt writing and using Copilot in Excel and Outlook.
Designed as an entry point rather than a formal course, students can explore topics at their own pace, whether they want a quick three-minute overview or a deeper dive. Course completion is tracked, allowing students to monitor their progress, but participation is optional and available at no cost using their Jefferson campus credentials. The University also plans to expand the offerings over time based on student feedback and demand.
Jefferson’s growing portfolio of AI-focused programs also includes the MS in Data Analytics & Artificial Intelligence (AI) and MS in Business Analytics & Artificial Intelligence (AI). Together, they provide educational opportunities for everyone from students seeking foundational AI literacy to professionals looking to become leaders in healthcare transformation.
“You will get experience using this next-generation technology, but you will also have important conversations about its place in society,” Dr. Hass says. “Students leave with valuable technical skills and the ability to think critically about how AI should be used responsibly in healthcare.”