Online Master’s in AI in Business | Questrom School of Business

Graduate Specialty MS Programs Online MS in AI in Business

Jump right in:

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

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

32 Credits

A full AI 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 AI 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” AI Curriculum

BU’s Master’s in Artificial Intelligence in Business 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 DEVELOPING A SUSTAINABLE STRATEGY

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

Questrom School of Business Master’s in Artificial Intelligence 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 AI 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 master’s in AI, 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 artificial intelligence program continuously updates technical content while maintaining focus on enduring principles of AI deployment and governance.

Get your questions about the Online MS in AI in Business answered.

Watch a Recent Q&A Session

Want to dive into the details? Learn even more about the Online Master’s in AI in Business by watching our most recent information session with the architect of this new AI degree. Start at 4:38.

Watch Video on YouTube

Connect with Admissions

Our application process is made for working professionals. It’s not just about test scores or academic history. Connect with the admissions team if you’re ready to take the next step.

Learn more about admissions

Connect with the Team

We’re redesigning the learning model for working professionals.

3 Ways Boston University’s Online MBA Is A Disruptor In Business Education (Forbes)

Boston University’s New $24,000 Online MBA Is A Big Hit (Poets & Quants)

Upcoming 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.

All Graduate Admissions Events

Book an Advising Session

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 Master’s in AI in Business matches your goals.

Spring (January) 2027 Application

Set up Advising Session

Attend an event

Application Deadlines

Spring (January) 2027

Round 1 (Summer Priority): August 19, 2026
Round 2: September 23, 2026
Final Round: November 4, 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.

BU’s Online Master’s in AI In Business