BU’s Online MS in AI In Business

A brand-new business-first master’s for professionals making AI real – where performance, governance and accountability matter. Join the early cohorts building the practical playbook for AI across business processes.

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AI is reshaping how work gets done. Lead the shift with confidence.

Designed by the team with a proven track record in innovative online learning.

BU Questrom doesn’t just put courses online—we redesign the learning model around how professionals actually work. And it’s getting recognition.

Forbes
Poets & Quants

AI is moving fast—but most organizations are still stuck in the messy middle: too many pilots, unclear decision rights, and real risk once AI starts influencing decisions. If you’re responsible for improving performance, scaling change, or making AI usable across teams, this program is built for you.  We will provide for you the architectural vision of your organization in how to design the workflows and the workforce around the capabilities of AI.

You’ll earn your degree from a top-ranked business school and learn how to make AI work for this vision and in real business processes—so performance improves, decisions strengthen, and change scales responsibly. This isn’t about collecting tools. It’s about envisioning and execution: redesigning processes, clarifying ownership, and building governance and establishing an operating model that holds up over time. Along the way, you’ll develop an AI in Business Playbook—and put it to work on real business needs immediately.

100% Online

Earn your master’s from BU—without relocating or pausing your career.

32 credits

A full master’s degree designed for real depth.

$25,000 Total Tuition

A top-ranked business school degree designed to be accessible.

Flexible + Connected Format

Asynchronous learning plus live online sessions with faculty and peers.

AI doesn’t just add tools. It changes workflows—and accountability.

This program starts with the business problem,—not the tool. You’ll use AI only when it clearly improves results or creates new value. Then you’ll learn how to redesign how work gets done and how decisions get made—so accountability stays clear when AI is part of the process. You’ll also learn how to measure what’s working and course-correct over time —so improvements stick and innovation can scale.

Graduates will be able to:

  • Lead AI-enabled improvement and innovation
  • Redesign end-to-end workflows for humans + AI collaboration and augmentation
  • Clarify decision rights and ownership as AI becomes embedded in execution
  • Move from pilots to implementation and scale
  • Build governance + measurement so performance is sustained over time
Business problem–driven

Every concept is tied to improvement and innovation challenges, with AI introduced only when it meaningfully adds value.

Human-in-the-loop by design

You’ll build leadership and governance practices that keep human judgment where it belongs —and make ownership of outcomes explicit as AI scales.

Transformation-focused

Go beyond pilots and tool demos. Learn how AI changes operations, decisions, and accountability—and how to lead that change.

A “Business Problem First” Curriculum

BU’s Online MS AI in Business program is built around the core work organizations always need to do—improve performance, innovate, implement change, and govern risk—so you learn to make AI work in real workflows, with results that are scalable beyond the pilot.

You’ll move through four integrated modules in a deliberate sequence. Each module builds toward practical outputs you can apply immediately—so you leave with frameworks, playbooks, and an approach you can use to lead AI-enabled work inside your organization.

*Curriculum is subject to change.

Explore Curriculum

MODULE 1 — FOUNDATIONS – MINIMAL FLUENCY IN RESPONSIBLE AI IN BUSINESS

MODULE 2 — IMPROVEMENT – REDESIGNING BUSINESS PROCESSES AND WORKFLOWS

MODULE 3 — INNOVATION – CREATING NEW SOURCES OF VALUE WITH AI

MODULE 4 — GOVERNANCE – ACCOUNTABILITY, ETHICS AND SUSTAINABLE PERFORMANCE

Built for leaders—and rising leaders—responsible for results.

BU’s Online MS in AI in Business is designed for professionals who are now being asked to improve or transform current business processes. You’ll learn practical approaches for deployment, governance, risk/ROI tradeoffs, and operational change so AI-enabled work holds up beyond the pilot.

This program is a strong fit if you are:

Responsible for improving how a function or process runs (quality, efficiency, reliability, customer experience)

Leading or supporting AI-enabled change across teams (product, operations, analytics, strategy, functional leadership)

Translating between technical teams and business owners—and need the judgment to decide what belongs where (and why)

Tasked with making AI “real” beyond pilots: rollout, measurement, governance, and sustained performance

Can you see yourself at Questrom?

If you’re responsible for outcomes—and making AI work in the real world—you’ll likely see yourself here. Sound like you?


The Cross-Functional Translator


Connects business goals with technical execution—scoping the work, setting priorities, and making tradeoffs that keep outcomes and accountability clear.


Typical roles: Transformation lead, AI program manager, business technology partner, analytics enablement, ops/continuous improvement lead.

The Product & Growth Decision-Maker


Evaluates AI features and use cases in the context of customer value and business performance—making ROI/risk tradeoffs and guiding cross-functional delivery


Typical roles: Product manager, digital product lead, growth/CX lead, product strategy.


The Operations & Performance Leader


Accountable for performance in complex systems—scaling AI responsibly with the measurement, controls, and governance needed for reliability over time.


Typical roles: Operations leader, RevOps/FP&A, risk & compliance, healthcare ops/quality improvement, fraud/program evaluation.


Early Career Explorer


Works close to day-to-day execution—supporting analysis, project coordination, and process improvement—while looking for opportunities to apply AI in practical ways (e.g., improving workflows, decision support, and team productivity) without needing to be deeply technical.


Typical roles: Early-career analyst, business operations associate, junior product/program coordinator, marketing/strategy associate, consulting analyst, aspiring AI/analytics program contributor.

AI Capabilities Covered

Throughout the program, you’ll cover ground in these areas.

Machine Learning & Predictive Systems

Time-series forecasting, classification, and regression models. Ensemble methods and model selection for structured data. Feature engineering and interpretability. Combining ML predictions with generative AI outputs.

Generative AI & Agents

 Large language models for analysis, synthesis, and generation. Autonomous agents with tool use and code execution. Reasoning models with extended thinking and planning. Multi-agent systems where specialized models coordinate and negotiate. Vision and multi-modal systems.

Architecture & Deployment

Extended-context models (100K+ tokens) and context vs. retrieval trade-offs. Model routing strategies balancing cost, latency, and capability. Function calling and API integration with live business systems. Prompt engineering with constraints and structured outputs.

Governance & Operations

 Evaluation frameworks including red-teaming and adversarial testing. Drift detection and performance monitoring for both ML and GenAI systems. Accountability structures for AI-assisted decisions.

These examples reflect capabilities available as of 2026. The program continuously updates technical content while maintaining focus on enduring principles of AI deployment and governance.

Watch a Recent Q&A Session

Want to dive in to the details? Learn even more about the Online MS in AI in Business by watching our most recent information session with the architect of this new degree.

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Upcoming Online MS in AI in Business Admissions Events

Attend an event and apply for free. Join us to discover program insights and enjoy a waived application fee when you apply to a Questrom graduate degree program.

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Ready to Apply?

Interested in joining the next cohort? Here are the key details to plan your timing. If you’re not sure where you fit, we’re happy to help you assess whether this program matches your goals.

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Application Deadlines

  • February 11, 2026
  • April 15, 2026

*Please note: Applications will be reviewed on a space-available basis following the final deadline. If the class has been filled for a specific entry date, applicants will receive priority consideration for the next available entry term.