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.

Application Deadlines – Fall 2026

MS in AI in Business

  • Main Application: April 15
  • Extended Final Application: July 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 10

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

Vice President and Associate Provost

BU Virtual and Institute for Excellence in Teaching & Learning

“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.”

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