{"id":7221,"date":"2026-01-20T14:47:59","date_gmt":"2026-01-20T19:47:59","guid":{"rendered":"https:\/\/www.bu.edu\/online\/?post_type=bu-program-page&#038;p=7221"},"modified":"2026-05-28T14:37:21","modified_gmt":"2026-05-28T18:37:21","slug":"online-master-of-science-in-ai-in-business","status":"publish","type":"bu-program-page","link":"https:\/\/www.bu.edu\/online\/degrees-certificates\/ai-programs\/online-master-of-science-in-ai-in-business\/","title":{"rendered":"Online Master of Science in AI in Business"},"content":{"rendered":"\n<h2>Degree Description<\/h2>\n\n\n\n<p>The <strong>MS in AI in Business<\/strong> at Boston University is a first-of-its-kind graduate degree for professionals who want to bridge the gap between business strategy and AI. It is designed as a master&#8217;s in AI for business professionals who want to embed artificial intelligence in business decisions, operations, and strategy. This interdisciplinary program combines expertise from the <strong>Questrom School of Business<\/strong> and the <strong>Faculty of Computing &amp; Data Sciences (CDS)<\/strong> to deliver a hands-on, problem-driven curriculum that integrates management, data, and technology.<\/p>\n\n\n\n<p>Students learn to identify business challenges, design AI-enabled solutions, and turn innovation into action using a <strong>dual-stack approach<\/strong>: the <strong>AI Technology Stack<\/strong> (data, optimization, machine learning, GenAI) and the <strong>AI Management Stack<\/strong> (framing, experimentation, orchestration, governance, execution, and embedding).<\/p>\n\n\n\n<p>Graduates leave ready to <strong>lead AI-powered transformation<\/strong> across industries, from finance and healthcare to marketing, supply chain, and product strategy -driving impact at the intersection of business and technology.<\/p>\n\n\n\n<div class=\"wp-block-group alignwide program-block program-block--requirements program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<h2 class=\"program-block__title\">Requirements<\/h2>\n\n\n\n<div class=\"wp-block-columns program-block--requirements__inner\">\n<div class=\"wp-block-column program-block--requirements__content\">\n<div class=\"wp-block-group program-block--requirements__group\"><div class=\"wp-block-group__inner-container\"><\/div><\/div>\n\n\n\n<div class=\"wp-block-group program-block--requirements__group\"><div class=\"wp-block-group__inner-container\">\n<h3>Application Requirements<\/h3>\n<\/div><\/div>\n\n\n\n<ul><li><a href=\"https:\/\/bu-questrom.cas.myliaison.com\/applicant-ux\/#\/login\">Online <\/a><a href=\"https:\/\/bu-questrom.cas.myliaison.com\/applicant-ux\/#\/login\" data-type=\"URL\" data-id=\"https:\/\/bu-questrom.cas.myliaison.com\/applicant-ux\/#\/login\">application<\/a><a href=\"https:\/\/bu-questrom.cas.myliaison.com\/applicant-ux\/#\/login\"> form<\/a> + $125 fee (waivers available)<\/li><li>Resume<\/li><li>Short-answer questions<\/li><li>Transcripts from all institutions with 12+ credits earned<\/li><li>English proficiency proof (if applicable)<\/li><li>Optional letter of recommendation<\/li><li>GMAT\/GRE not required<\/li><\/ul>\n\n\n\n<p>Visit the\u202f<a href=\"https:\/\/www.bu.edu\/questrom\/graduate-programs\/specialty-masters-programs\/online-ms-in-ai-in-business\/admissions\/#checklist\" data-type=\"URL\" data-id=\"https:\/\/www.bu.edu\/questrom\/graduate-programs\/specialty-masters-programs\/online-ms-in-ai-in-business\/admissions\/#checklist\" target=\"_blank\" rel=\"noreferrer noopener\">Application Checklist<\/a>\u202ffor more information.&nbsp;<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--requirements__media\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" width=\"1024\" height=\"683\" src=\"\/online\/files\/2025\/05\/UDCP_mid-1024x683.jpg\" alt=\"Woman in orange sweater smiling at open laptop\" class=\"wp-image-3106\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2025\/05\/UDCP_mid-1024x683.jpg 1024w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/UDCP_mid-636x424.jpg 636w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/UDCP_mid-768x512.jpg 768w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/UDCP_mid-1536x1024.jpg 1536w, https:\/\/www.bu.edu\/online\/files\/2025\/05\/UDCP_mid-2048x1365.jpg 2048w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2>Curriculum<\/h2>\n\n\n\n<p>Across four modules,&nbsp;you\u2019ll&nbsp;build a leadership-ready approach to AI-enabled work. Rather than a collection of 10 AI and business courses, the program is organized into four integrated modules that deliberately build on one another. Each module develops&nbsp;a different set&nbsp;of capabilities\u2014so by the end, you can lead AI-enabled improvement and innovation processes and then govern them interdependently to dynamically scale.&nbsp;<\/p>\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Module 1- QST AI 710: Foundations \u2013 Minimal Fluency in responsible AI in Business (8 Credits) <\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>Module 1&nbsp;establishes&nbsp;a shared foundation for understanding AI as a business capability rather than a collection of tools. The module introduces two enduring business challenges\u2014improvement and innovation\u2014and develops the ability to&nbsp;navigate from&nbsp;business&nbsp;problem&nbsp;to&nbsp;appropriate AI-enabled&nbsp;solutions. Students are introduced to an analytics\/AI capability framework (the \u201cHouse of Analytics\u201d) that guides decision-making when selecting or building tools. Emphasis is placed on developing sound judgment about where AI is most effective\u2014and where it is not\u2014within business contexts.&nbsp;<\/p>\n\n\n<p><\/div>\n<\/div>\n\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Module 2 - QST AI 720: Improvement \u2013 Redesigning Business Processes and Workflows (8 Credits) <\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>Module 2 focuses on the application of AI to improve existing business processes and decision systems. Building on the foundational fluency developed in Module 1, this module emphasizes disciplined execution, operational reliability, and measurable performance within real organizational contexts. Students learn how AI creates value through incremental improvement\u2014enhancing efficiency, quality, and consistency\u2014rather than through radical transformation. The module explores how AI capabilities can be integrated into existing workflows, roles, and decision routines, while addressing performance evaluation, risk, and tradeoffs. Through practical scenarios, students examine end-to-end processes,&nbsp;identify&nbsp;opportunities for AI-enabled enhancements, and redesign workflows to ensure insights are effectively delivered and adopted at scale.&nbsp;<\/p>\n\n\n<p><\/div>\n<\/div>\n\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Module 3 - QST AI 730: Innovation \u2013 Creating New Sources of Value with AI (8 Credits)<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>Module 3 focuses on how AI enables innovation in situations where existing processes, data, and evaluation frameworks are insufficient. Building on prior modules, the emphasis shifts from improvement to exploration\u2014using AI to surface, amplify, and prioritize novel insights that may not fit within current organizational structures. A central concept in this module is escalation: directing attention and resources toward emerging opportunities that&nbsp;warrant&nbsp;further investigation and investment. Students learn how to design and manage experiments in environments where data is&nbsp;incomplete&nbsp;and success metrics are still evolving, while navigating uncertainty, risk, and learning. The module also explores how to align AI-driven innovation efforts with&nbsp;broader&nbsp;organizational strategy.&nbsp;<\/p>\n\n\n<p><\/div>\n<\/div>\n\n\n\n<div class=\"bu_collapsible_container \" aria-live=\"polite\" data-customize-animation=\"false\"><h3 class=\"bu_collapsible\" aria-expanded=\"false\"tabindex=\"0\" role=\"button\">Module 4 - QST AI 740: Governance \u2013 Accountability, Ethics and Developing a Sustainable Strategy (8 Credits) <\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>Module 4 focuses on the leadership and governance challenges that&nbsp;emerge&nbsp;as AI systems scale and evolve within organizations. Moving beyond deployment, the emphasis&nbsp;is on&nbsp;stewardship\u2014ensuring that intelligent systems&nbsp;remain&nbsp;reliable, accountable, and aligned with organizational values over time. Integrating lessons from both improvement and innovation, this module addresses how organizations balance performance, risk, and responsibility at the system level. Students explore how to design governance structures that combine AI-enabled monitoring with human judgment, clarify decision rights and accountability, and embed ethical and regulatory considerations into ongoing operations. The module also examines how organizations can create feedback loops and learning mechanisms that allow AI systems to adapt responsibly while&nbsp;maintaining&nbsp;trust.&nbsp;<\/p>\n\n\n<p><\/div>\n<\/div>\n\n\n\n\n<h2>Dates and Deadlines<\/h2>\n\n\n\n<h3 class=\"has-text-align-center\"><strong>Deadlines<\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-center\"><s><strong>Priority Application Deadline: <\/strong>February 11, 2026<\/s><\/p>\n\n\n\n<p class=\"has-text-align-center\"><s><strong>Main Application Deadline: <\/strong>April 15, 2026<\/s><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Final Application Deadline: <\/strong>June 1, 2026<\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong>Fall Semester Class Starts: <\/strong>August, 2026<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/www.bu.edu\/questrom\/graduate-programs\/specialty-masters-programs\/online-ms-in-ai-in-business\/admissions\/#deadline\" target=\"_blank\" rel=\"noreferrer noopener\">View All<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignwide program-block program-block--career-paths program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--career-paths__inner\">\n<div class=\"wp-block-column program-block--career-paths__header\">\n<h2 class=\"program-block__title\">How You Benefit from the Online Master of Science in AI in Business<\/h2>\n\n\n\n<p class=\"program-block__description\"><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__content\">\n<ul class=\"program-block--career-paths__list\"><li><strong><strong>The Future of Business is AI-Driven<\/strong><\/strong>. AI is redefining how businesses operate, from supply chain optimization to strategic finance. The MS in AI in Business helps professionals lead this transformation by turning data and automation into innovation and growth.<\/li><li><strong><strong>A Curriculum That Mirrors the Real World<\/strong><\/strong>. Instead of learning in silos, you\u2019ll engage with modular, problem-first learning where technology and management are interwoven. Each module ends with a capstone playbook, so every learner leaves with tangible frameworks for change.<\/li><li><strong><strong>Designed for Working Professionals<\/strong><\/strong>. The program is fully online and part-time, allowing you to apply new skills directly to your workplace while learning from faculty who lead both research and practice in AI, management, and innovation.<\/li><li><strong><strong>Affordable and Accessible<\/strong><\/strong>. At $25,000 total tuition, BU\u2019s MS in AI in Business offers a high-quality education at an accessible price point without sacrificing rigor, relevance, or connection.<\/li><li><strong>Learn How to Lead AI-driven Transformation in Business. <\/strong>Earn BU\u2019s MS in AI in Business online &#8211; where data, management, and innovation intersect.<\/li><\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group program-block--career-paths__footer\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--career-paths__footer-inner\">\n<div class=\"wp-block-column program-block--career-paths__footer-header\">\n<h3 class=\"program-block--career-paths__footer-title\">Career Outcomes<\/h3>\n\n\n\n<p><span class=\"has-inline-color has-white-color\">This AI program prepares graduates for leadership roles at the intersection of artificial intelligence and business, including:<\/span><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong>Director of Digital Transformation<\/strong><\/h4>\n\n\n\n<p>Lead cross-functional change programs that use AI to improve performance and customer outcomes.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong>Product Manager<\/strong><\/h4>\n\n\n\n<p>Deliver AI-enabled products. Define requirements, partner with engineers, and improve features using data.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--career-paths__footer-card\">\n<h4 class=\"program-block--career-paths__footer-card-title\"><strong>Head of AI Enablement<\/strong><\/h4>\n\n\n\n<p>Create standards and support so teams can adopt AI safely and consistently.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<h2>Skills You&#8217;ll Gain<\/h2>\n\n\n\n<ul><li><strong>AI Strategy and Transformation Leadership<\/strong>. Build an AI roadmap, align stakeholders, and drive adoption across teams.<\/li><li><strong>Data-Driven Decision-Making<\/strong>. Use data and AI outputs to make better decisions and communicate results clearly.<\/li><li><strong>AI Governance, Risk &amp; Ethics<\/strong>. Set guardrails for responsible AI, including privacy, bias, and compliance.<\/li><li><strong>GenAI and Machine Learning Applications<\/strong>. Identify strong GenAI\/ML use cases and move from prototype to real workflows.<\/li><\/ul>\n\n\n\n<h2><strong>Have Questions about the Online MS in AI in Business?<\/strong>&nbsp;<\/h2>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link\" href=\"https:\/\/www.bu.edu\/questrom\/graduate-programs\/specialty-masters-programs\/online-ms-in-ai-in-business\/questions\/\" target=\"_blank\" rel=\"noreferrer noopener\">Frequently Asked Questions<\/a><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignwide program-block program-block--testimonial-with-photo-sm program-block--type-degrees\"><div class=\"wp-block-group__inner-container\">\n<div class=\"wp-block-columns program-block--testimonial-with-photo-sm__inner\">\n<div class=\"wp-block-column program-block--testimonial-with-photo-sm__author\">\n<h3 class=\"has-text-align-left program-block--testimonial-with-photo-sm__author-name\"><strong>Paul Carlile<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-image size-large program-block--testimonial-with-photo-sm__author-image\"><img loading=\"lazy\" width=\"790\" height=\"782\" src=\"\/online\/files\/2026\/01\/Screenshot-2026-01-06-at-2.24.59\u202fPM.png\" alt=\"\" class=\"wp-image-7227\" srcset=\"https:\/\/www.bu.edu\/online\/files\/2026\/01\/Screenshot-2026-01-06-at-2.24.59\u202fPM.png 790w, https:\/\/www.bu.edu\/online\/files\/2026\/01\/Screenshot-2026-01-06-at-2.24.59\u202fPM-636x630.png 636w, https:\/\/www.bu.edu\/online\/files\/2026\/01\/Screenshot-2026-01-06-at-2.24.59\u202fPM-768x760.png 768w\" sizes=\"(max-width: 790px) 100vw, 790px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column program-block--testimonial-with-photo-sm__content\">\n<figure class=\"wp-block-pullquote alignleft program-block--testimonial-with-photo-sm__quote\"><blockquote><p>&#8220;<em>We built this program to meet the moment. There is a lot of excitement and noise around AI &#8211; this program is designed to help you harness its power to succeed in business.<\/em>&#8220;<\/p><cite><strong><br><\/strong>Senior Associate Dean, Research &amp; Innovation<br>Professor, Information Systems<\/cite><\/blockquote><\/figure>\n<\/div>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Degree Description The MS in AI in Business at Boston University is a first-of-its-kind graduate degree for professionals who want to bridge the gap between business strategy and AI. It is designed as a master&#8217;s in AI for business professionals who want to embed artificial intelligence in business decisions, operations, and strategy. This interdisciplinary program [&hellip;]<\/p>\n","protected":false},"author":25697,"featured_media":3735,"parent":7363,"menu_order":4,"template":"","meta":{"_editor_template":""},"bu_progs_page-type":[6],"bu_progs_degree-option":[76],"bu_progs_schools-colleges":[123],"bu_progs_education-level":[108],"bu_progs_area-of-study":[163,128,145,118,127],"bu_progs_area-of-interest":[],"bu_progs_department-affiliation":[],"bu_progs_format":[111],"bu_progs_availability":[115],"bu_progs_location":[117],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/7221"}],"collection":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page"}],"about":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/types\/bu-program-page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/users\/25697"}],"version-history":[{"count":51,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/7221\/revisions"}],"predecessor-version":[{"id":9010,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/7221\/revisions\/9010"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu-program-page\/7363"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/media\/3735"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/media?parent=7221"}],"wp:term":[{"taxonomy":"bu_progs_page-type","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_page-type?post=7221"},{"taxonomy":"bu_progs_degree-option","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_degree-option?post=7221"},{"taxonomy":"bu_progs_schools-colleges","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_schools-colleges?post=7221"},{"taxonomy":"bu_progs_education-level","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_education-level?post=7221"},{"taxonomy":"bu_progs_area-of-study","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_area-of-study?post=7221"},{"taxonomy":"bu_progs_area-of-interest","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_area-of-interest?post=7221"},{"taxonomy":"bu_progs_department-affiliation","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_department-affiliation?post=7221"},{"taxonomy":"bu_progs_format","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_format?post=7221"},{"taxonomy":"bu_progs_availability","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_availability?post=7221"},{"taxonomy":"bu_progs_location","embeddable":true,"href":"https:\/\/www.bu.edu\/online\/wp-json\/wp\/v2\/bu_progs_location?post=7221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}