Program at a Glance
|
|
100% Online |
Designed for working professionals |
|
Virtual engagement and networking |
Weekly live sessions |
Applications now open for Fall 2026 |
Attend A Webinar
Explore BU’s online Master’s in Enterprise AI through webinars — get program insights, ask questions, and plan your next steps.
What is Enterprise AI, and why does it matter?
Enterprise AI is the discipline of designing, deploying, and governing technology systems at organizational scale. As artificial intelligence becomes embedded across industries, the challenge is no longer experimenting with tools or building isolated models - it is how we integrate AI into real business systems, workflows, and decision-making in ways that are secure, reliable, and aligned with strategy.
Organizations across every sector, from healthcare and finance to manufacturing, logistics, and government are investing heavily in AI. Yet many struggle to move from pilots to production. The gap isn’t technical curiosity or analytical skill; it’s enterprise execution. Enterprise AI focuses on operationalizing AI: deploying models into production, managing infrastructure and data pipelines, governing risk and ethics, and ensuring systems perform over time in complex, real-world environments.
Boston University’s Enterprise AI Master’s program is designed for professionals who want to lead in this next phase of AI adoption. Rather than focusing solely on analytics or theory, the program equips you with the skills to build and manage AI-enabled systems at scale, covering areas such as AI system architecture, large language model applications, deployment and monitoring, security, governance, and organizational integration. It is designed to make you the changemaker.
Taught by faculty deeply engaged in applied AI research and practice, the curriculum blends technical foundations with hands-on, enterprise-focused learning. You’ll work on real systems, tackle real operational challenges, and develop the ability to translate strategy into production-ready technology.
If you’re ready to move beyond experimentation and play a leadership role in how AI is deployed responsibly and effectively across organizations, Enterprise AI matters - now more than ever. Contact us to learn more, or apply today to take the next step.
Online Master's in Enterprise AI Quick View
One of only three universities in Boston and Cambridge named to the prestigious Association of American Universities
Total tuition cost of the Online Master's in Enterprise AI at Boston University
This world-class program is 100% online.
AI for Leaders: Unlock the Future with Expert Insights
Step into the world of AI with Boston University’s AI for Leaders course—a dynamic online experience featuring industry pioneers sharing cutting-edge strategies and ethical perspectives. Dive into live sessions and on-demand videos that explore how AI is transforming business, shaping societal trends, and driving innovation. Gain the essential technical and strategic insights needed to lead in the AI-driven future
CDS News
CDS faculty and staff are making waves. Read about our research, faculty in the news, student activities, and more.
CDS Affiliate John Byers Selected to Lead AIDA and Advise the Provost on AI Strategy for BU
CDS Affiliated Faculty and former Founding Faculty member John Byers has been appointed Executive Director of BU AIDA, read about it and CDS Associate Provost Azer Bestavros' words of support for this appointment.
The Brink: National Science Foundation Honors 6 BU Researchers with CAREER Awards
CDS Assistant Professor Kira Goldner has been awarded by the NSF to advance her work on fairer allocation of social services, using data science to tackle inequalities and more.
CCDS Hosts Experts and State Officials for Event on AI Progress
At an recent event focused on AI work across the state, AI experts came together at CCDS to discuss the future and of AI and its potential for positive impact.
How BU’s Cryptographers Made Equity Unhackable
Learn about how BU researchers, led by professor Mayank Varia, were able to use cryptography to create a privacy-preserving platform to analyze wage-equity without revealing individuals' payrolls and other data.
