Turn AI Innovation into Workforce Impact
Artificial intelligence is transforming the workforce—reshaping how organizations operate, compete, and innovate. In response, Boston University has launched a coordinated portfolio of online master’s programs designed to prepare professionals to lead in an AI-driven economy.
Rooted in BU’s Faculty of Computing & Data Sciences and the creation of the online Master’s in Data Science, this portfolio builds on a strong foundation of applied, interdisciplinary education. Its expansion into new AI-focused programs reflects faculty-driven innovation and the growing demand for advanced AI expertise across industries.
Together, these programs combine technical rigor, real-world application, and strategic perspective to educate professionals ready to lead in an AI-driven economy.
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Minimum Requirements
- 30 Credits
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Minimum Requirements
- 16 Months
- 32 Credits
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Minimum Requirements
- 4 Semesters
- 30 Credits
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Minimum Requirements
- 16 Months
- 30 Credits
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Minimum Requirements
- 2 Years
- 30 Credits
Application Deadlines – Fall 2026
MS in AI in Business
- Main Application: April 15
- Final Application: June 1
MS in Enterprise AI
- Main Application: July 1,
- Final Application: August 9
MS in Computer Science & Artificial Intelligence
- Application: May 1
- Main Application: July 1,
- Final Application: August 9
MS in Software Engineering for AI
- Application: June 1
- Final Application: August 1
Potential Career Paths
Whether you’re an engineer, technologist, or business leader, BU’s AI portfolio gives you a clear path to build, deploy, and lead what’s next.
- Head of AI Enablement
- Machine Learning Product Engineer
- AI Systems Architect
- AI Software Engineer
- Director of Digital Transformation
- AI Platform Engineer
- Enterprise AI Solutions Architect
- Product Manager
Wendy Colby
“AI is changing how every industry works, and professionals need education that keeps pace. BU’s AI master’s programs combine BU’s academic strength with a flexible online experience, so students can build practical expertise they can apply immediately—whether they’re developing AI systems, scaling AI across an enterprise, or leading AI-driven change in their organizations.”