The Master of Science in Applied Artificial Intelligence (MS-AAI) is taught by scholar-practitioners whose day-to-day work ranges from launching enterprise-scale machine-learning platforms to researching the ethics of emerging AI. Their blend of technical expertise and real-world insight ensures that every lecture, discussion and project is anchored in practical, responsible innovation.
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Ebrahim K. Tarshizi, PhD, MBA — Academic DirectorDr. Tarshizi directs both the MS-AAI and MS in Applied Data Science (MS-ADS) programs, drawing on previous roles as senior technical adviser to Centers for Disease Control National Institute for Occupational Safety and Health (CDC NIOSH) and visiting scholar at the San Diego Supercomputer Center. He has a diverse academic background, with degrees in geoengineering, data science and business administration, and vast experience as a technical advisor and scholar. |
Expertise That Speaks For Itself
Top-Tier Industry Experience
Instructors have advanced AI initiatives or held leadership positions at prominent companies such as CDC NIOSH, Labcorp, Wild Genomics, Thermo Fisher Scientific, GoodRx, Ticketmaster and Kraft Heinz. They’ve also consulted with top businesses such as Accenture and Deloitte.
Cross-Disciplinary Depth
Faculty experience spans healthcare, finance, retail, energy, cloud computing, natural-language processing and more.
Continuous Innovation
Many of our instructors publish in peer-reviewed journals, chair Institute of Electrical and Electronics Engineers (IEEE) conferences, file patents or build venture-backed startups.
Student-Centered Approach
Small cohorts, weekly office hours and personalized feedback create a supportive learning environment that extends well beyond graduation.
MS-AAI Faculty Roster
| Ebrahim K. Tarshizi, PhD | Dallin Munger, MS |