| Program | MS in Artificial Intelligence in Business |
|---|---|
| Paths | Enterprise Integration; Digital Transformation |
| Length | 30 credits; 12–16 months in person or 16 months online |
| Format | Full-time in person or synchronous online weekends, depending on major |
| STEM | Yes |
| Focus | AI-native business technology |
| AI Exposure | Very High (MSITM.com editorial rating) |
Two AI-business paths
Enterprise Integration is designed for recent graduates and early-career professionals who want to build and deploy enterprise AI systems. Coursework includes applied ML/deep learning, GenAI data pipelines and RAG, agentic AI, deployment, governance, security and privacy.
Digital Transformation is designed for experienced professionals leading AI strategy and organizational change. It covers AI ROI, enterprise architecture, agentic systems, governance, risk, change management and adoption.
Published cost
USF lists about $14,200 total tuition for in-state Enterprise Integration students on an accelerated schedule and $21,900 for the online Digital Transformation program for the published 2026–27 cohorts.
Official sources
Career evidence
These AI in Business degrees are new programs launching in 2026–27, so there is not yet a mature alumni employment or salary cohort to compare with long-established programs. USF publishes target career paths such as AI analyst, AI engineer, AI/ML architect, digital-transformation lead and AI program manager, but MSITM.com does not treat those role examples as placement outcomes.
Application deadlines
USF Muma currently lists general graduate-business deadlines of June 1 for fall and October 15 for spring. Because the AI in Business degree has separate Enterprise Integration and Digital Transformation paths, applicants should confirm the intended path and start term with the program before relying on a general college deadline.
Muma graduate admissions and deadlines
Preparation & prerequisites
The two USF AI in Business paths assume different applicant profiles. Digital Transformation is built for experienced professionals and explicitly says no coding experience is required. Enterprise Integration is designed for recent graduates and early-career professionals who want to build and deploy applied AI systems; its curriculum moves directly into machine learning, GenAI pipelines, RAG, agentic AI and deployment. Applicants should therefore choose the path based on both career stage and desired technical depth rather than treating the two majors as interchangeable.
Digital Transformation · Enterprise Integration
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Last verified: September 17, 2026.