Boston University has announced a new online Master of Science in AI in Business, designed for professionals who want to translate AI into decisions, systems, and measurable results inside organizations. Applications are now open, and the program is scheduled to welcome its first cohort in Fall 2026.<\/p>\n
Format:<\/strong> 100% online; structured asynchronous learning paired with scheduled live sessions, 32 credits completed through four modules AI adoption is accelerating, but many organizations still struggle to translate experimentation into business strategy and disciplined execution. The challenge is no longer whether AI is \u201cpossible.\u201d It is whether teams can frame the right problems, redesign workflows, set decision rights, manage risk, and sustain performance over time.<\/p>\n That gap is showing up at the leadership level. In McKinsey\u2019s<\/a> latest State of AI reporting, most organizations expect to increase AI investment over the next few years\u2014yet many still face execution hurdles in turning investment into measurable outcomes. <\/span> The professionals who can bridge strategy, operations, and governance are becoming central to how companies compete.<\/p>\n The Online MS in AI in Business is built around a clear idea: AI is a business capability system<\/strong>, not a single technology. Students learn how AI fits across data, models, workflows, people, and governance\u2014and how to lead responsible adoption in real organizations. <\/span><\/p>\n Across the modules, you\u2019ll build practical capability in five areas:<\/p>\n Problem framing and business value:<\/strong> Identify high-value use cases and define outcomes, constraints, and readiness so AI is applied where it matters most. <\/span><\/p>\n<\/li>\n Workflow redesign and operational excellence:<\/strong> Improve core processes by integrating AI into real decision routines\u2014balancing performance, risk, and adoption. <\/span><\/p>\n<\/li>\n Innovation and strategic change:<\/strong> Use AI to surface novel opportunities and design experiments when data and evaluation standards are still emerging. <\/span><\/p>\n<\/li>\n Governance, risk, and responsible AI:<\/strong> Build decision rights, escalation paths, and accountability so AI-enabled work remains trustworthy and aligned as conditions change. <\/span><\/p>\n<\/li>\n Applied deliverables:<\/strong> Graduate with leadership-ready artifacts\u2014such as capability frameworks, redesign plans, and governance playbooks\u2014that you can bring back to your organization.<\/p>\n<\/li>\n<\/ul>\n This program is a strong fit if you are responsible for business outcomes and cross-functional execution, including professionals such as:<\/p>\n Directors leading digital transformation<\/p>\n<\/li>\n Product managers and product leaders<\/p>\n<\/li>\n AI enablement and operations leaders<\/p>\n<\/li>\n Strategy, innovation, and growth leaders<\/p>\n<\/li>\n Analytics and insights leaders moving into AI leadership<\/p>\n<\/li>\n Program leaders coordinating data\/tech teams and business stakeholders <\/span><\/p>\n<\/li>\n<\/ul>\n If your goal is to become a model builder or deep technical specialist, BU\u2019s other AI Cluster<\/a> programs may be a better fit. This degree is for leaders who need to make AI work inside real organizations\u2014reliably, responsibly, and at scale.<\/p>\n Drawing on the expertise of BU\u2019s renowned faculty and the university\u2019s long-standing tradition of academic excellence, our programs deliver the same rigorous and engaging education as experienced on campus, in a flexible format that fits your life. <\/span>You\u2019ll combine asynchronous coursework with live sessions that deepen discussion, application, and peer learning.<\/p>\n \u201cWe built this program to meet the moment. There is a lot of excitement and noise around AI\u2014this program is designed to help you harness its power to succeed in business.\u201d<\/p><\/blockquote>\n – Paul Carlile<\/p>\n Senior Associate Dean, Research & Innovation Choose this program if you want to lead AI-enabled decision-making in a business context, build the governance and operating routines that make AI trustworthy at scale, and translate between stakeholders so initiatives move from idea to implementation.<\/p>\n
\nTimeframe:<\/strong> Designed to be completed in about two years
\nTuition:<\/strong> $25,000 total program tuition
\nFocus:<\/strong> AI strategy, decision-making, and responsible adoption for business leaders<\/p>\nWhy Now?<\/h2>\n
What You Will Learn<\/h2>\n
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Who This Program Is Best Suited For<\/h2>\n
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Faculty Perspective<\/h2>\n
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