Boston University has launched a new 100% online Master of Science in Enterprise AI—built for working professionals who need practical, enterprise-ready skills to take AI from pilot to production. Applications are now open, and the program will welcome its first cohort in Fall 2026.

Online MS in Enterprise AI: At a Glance

  • Format: 100% online; structured asynchronous learning paired with scheduled live sessions
  • Timeframe: Designed to be completed in about 16 months (four sequential semesters)
  • Tuition: $25,000 total program tuition
  • Focus: Enterprise-scale AI implementation—LLM applications, MLOps, governance, and enterprise transformation

Why Enterprise AI—and Why Now?

AI adoption is accelerating across sectors, but the hard part is operational execution: integrating AI into real systems, workflows, and decision-making in ways that are secure, reliable, and governed over time. Enterprise AI is the discipline that closes the gap between AI experimentation and sustained impact.

One market signal: TSIA projects that by 2028, 80% of enterprise technology spending will flow to AI-powered applications and robotics—which increases demand for professionals who can deploy AI at organizational scale.

A New Kind of Program – Backed by BU’s Extensive Experience

This newly launched degree is built for how Enterprise AI is practiced now – grounded in today’s realities like LLM application patterns, enterprise-scale deployment, and modern governance expectations, but structured to evolve as the field changes. It’s delivered 100% online and purposefully designed to be flexible for working professionals’ busy schedules while still providing what matters most: renowned faculty, an engaging cohort, live sessions that deepen learning, applied projects tied to real enterprise challenges, and a supportive experience that moves you from insight to implementation.

What You Will Learn

Graduates develop capability across the full enterprise AI lifecycle, including:

  • Machine learning foundations for enterprise intelligence
  • Data engineering and strategy for AI systems
  • Designing and building LLM applications (including prompting, retrieval-augmented generation, and fine-tuning)
  • MLOps and model lifecycle management (deployment, monitoring, maintenance)
  • AI governance, risk, ethics, and sustainability
  • AI strategy and enterprise transformation

Who This Program Is Best Suited For?

This program is a strong fit if your work sits at the intersection of AI systems and organizational scale. Typical profiles include:

  • AI/ML engineers and applied AI engineers moving into production ownership
  • Data engineers, AI platform engineers, MLOps and DevOps professionals supporting AI workloads
  • GenAI / LLM application developers building enterprise solutions
  • Technical product managers, implementation leads, and technical program managers driving adoption
  • Enterprise architects and AI systems architects
  • AI governance, risk, compliance, and responsible AI professionals

Faculty Perspective

“This program takes the deep technical foundations from data science and computer science and connects them to real enterprise challenges. You’ll learn how to operationalize AI, build resilient AI systems, manage risk and governance, and lead interdisciplinary teams.”
— Azer Bestavros, Warren Distinguished Professor of Computer Science and Associate Provost for Computing & Data Sciences

How to Tell If This Program Is the Right Fit?

Choose Enterprise AI if you want to:

  • Deploy AI into production systems and workflows—not just prototype models
  • Build reliability: monitoring, lifecycle management, and operational controls
  • Integrate governance and risk management into AI systems from the start
  • Lead cross-functional adoption so AI initiatives scale across teams

Enroll today or learn more at www.bu.edu/online/degrees-certificates/.

Explore BU’s AI Cluster

Boston University’s AI Cluster includes multiple online master’s programs developed across BU schools. Each serves a distinct pathway:

  • Online MS in AI in Business: AI strategy, decision-making, and responsible adoption for business leaders
  • Online MS in Computer Science & Artificial Intelligence: CS foundations with applied AI depth for builders
  • Online MS in Software Engineering for Artificial Intelligence: Engineering practice for shipping AI-enabled software reliably

Learn more about BU’s online MS AI cluster at www.bu.edu/online/degrees-certificates/.