{"id":7293,"date":"2026-01-20T12:31:05","date_gmt":"2026-01-20T17:31:05","guid":{"rendered":"https:\/\/www.bu.edu\/online\/?post_type=bu-program-page&#038;p=7293"},"modified":"2026-06-02T14:21:13","modified_gmt":"2026-06-02T18:21:13","slug":"online-master-of-science-in-enterprise-ai","status":"publish","type":"bu-program-page","link":"https:\/\/www.bu.edu\/online\/degrees-certificates\/ai-programs\/online-master-of-science-in-enterprise-ai\/","title":{"rendered":"Online Master of Science in Enterprise AI"},"content":{"rendered":"<p><\/p>\n<p>Building an AI model is rarely the hard part. The work that determines whether AI delivers lasting value is making it run reliably inside a real organization: integrated into core systems, deployed and monitored in production, and governed responsibly. That AI implementation work is now among the most valuable contributions an enterprise IT or technology professional can lead, and it is the focus of Boston University&#8217;s Online Master of Science in Enterprise AI.<\/p>\n<p>AI pilots are widespread but durable, scalable AI implementation is what most organizations are still working to achieve. This online AI master&#8217;s degree combines technical depth with the judgment required to lead it. You will develop practical fluency in AI system architecture, large language model (LLM) applications, MLOps, enterprise AI agents, data management, ethics, privacy, and the business case for AI, so you can move AI from experimentation to reliable, responsible, enterprise-scale implementation, and lead the teams responsible for it.<\/p>\n<h2>Who the Online MS in Enterprise AI Is For<\/h2>\n<p>The program is an enterprise <em>implementation<\/em> degree, designed for professionals responsible for making AI work at organizational scale, including:<\/p>\n<ul>\n<li><strong>Enterprise IT &amp; architecture leaders:<\/strong> enterprise architects, solutions architects, IT directors, and technology leaders responsible for moving AI from pilot to production across the organization.<\/li>\n<li><strong>Data &amp; platform specialists:<\/strong> data, platform, and MLOps professionals who want to scale AI reliably and advance into broader leadership roles.<\/li>\n<li><strong>AI &amp; product-facing technologists:<\/strong> ML engineers, AI\/ML product managers, and generative AI developers prepared to connect technical work to enterprise strategy.<\/li>\n<li><strong>Governance, ethics &amp; risk professionals:<\/strong> responsible-AI, model-risk, compliance, and policy leaders who need both the technical and the regulatory picture.<\/li>\n<\/ul>\n<p>Students in the program include professionals from leading financial institutions, global banks, and major technology companies. If you would like to lead implementations across institutions where AI implementation can be complex and wide-ranging, this program is for you.<\/p>\n<h2>Learn from the Faculty Who Lead the Field<\/h2>\n\n\n<blockquote class=\"wp-block-quote is-style-default\"><p>&#8220;Enterprise AI leaders need more than the ability to deploy new systems. They need the judgment to recognize ethical risk early, make defensible decisions before outcomes are certain, and stand behind the choices that shape how AI is used in the workplace.\u201d<\/p><cite>Seth Villegas &#8211; Lecturer in Computing &amp; Data Sciences<\/cite><\/blockquote>\n\n\n\n<p><a href=\"https:\/\/www.bu.edu\/online\/2026\/05\/22\/when-technology-advances-so-fast-is-humanity-catching-up\/\">Read more<\/a> about Seth Villegas&#8217;s work and how his course helps AI transformation professionals lead successful enterprise-wide AI implementations. <\/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\">Curriculum<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<p>The curriculum combines programming, machine learning, scalable data systems, LLM applications, MLOps, responsible AI, enterprise agents, AI strategy, and a program-long applied leadership sequence.<\/p>\n\n\n\n<details>\n  <summary><strong>DX 602 Python Programming Toolkit<\/strong><\/summary>\n  <p>This module orients learners to navigate a programming environment setup and tools like the filesystem, command line, and notebooks. It also includes a review of fundamental components of the Python programming language, including data structures such as scalars, vectors, arrays, and dictionaries; installing and importing packages; control flow; loops; and functions.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>DX 603 Machine Learning Fundamentals<\/strong><\/summary>\n  <p>This module explores essential concepts and techniques in machine learning, including key topics such as linear methods, including linear regression, lasso, and ridge; tree methods, including decision trees, random forests, and boosting; and unsupervised methods like clustering.<\/p>\n  <p>Learners gain proficiency fitting various machine learning models, understanding regularization to prevent overfitting, and using cross-validation to evaluate model performance and tune hyperparameters.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>DX 604 Data Management at Scale<\/strong><\/summary>\n  <p>This module provides a comprehensive exploration of data handling techniques, leveraging case studies and real-world examples. It begins with basic SQL syntax and data manipulation and progresses to advanced SQL topics, including SELECT statements, filtering, sorting, aggregation, grouping, and joins.<\/p>\n  <p>Learners gain proficiency in modifying data and working with database indexing, constraints, and views in SQL.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>EA 620 Designing and Building LLM Applications<\/strong><\/summary>\n  <p>This hands-on course focuses on the complete toolkit for customizing large language models. Students master the three core methods for adapting LLMs to enterprise tasks: prompt engineering, Retrieval-Augmented Generation, also known as RAG, and fine-tuning.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>EA 710 MLOps: Managing the AI Model Lifecycle<\/strong><\/summary>\n  <p>This course teaches students how to operationalize AI by deploying, scaling, and maintaining models in a production environment. Topics include core MLOps practices, containerization with Docker, automated CI\/CD pipelines, and orchestration with Kubernetes.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>DX 701 Society and AI Ethics<\/strong><\/summary>\n  <p>This module explores ethical considerations inherent in data-driven decision-making and the deployment of algorithmic systems. It emphasizes the socially constructed nature of science, shedding light on biases and inequalities.<\/p>\n  <p>Learners explore the societal and cultural implications of AI and machine learning technologies, analyzing potential biases and disparities in data and algorithms. Practical skills are developed through the application of fairness metrics to evaluate and mitigate bias in algorithmic decision-making.<\/p>\n  <p>Privacy, ethical considerations surrounding personal data, and navigating key regulatory frameworks related to AI and machine learning, such as GDPR, the California Consumer Privacy Act, and other data privacy laws, are integral components.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>EA 730 Designing and Deploying Enterprise Agents<\/strong><\/summary>\n  <p>This course focuses on building autonomous AI agents that can reason, plan, and use tools to solve complex business problems. Students use frameworks like LangGraph to create and deploy sophisticated agents that automate enterprise workflows.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>EA 740 AI Strategy and Enterprise Transformation<\/strong><\/summary>\n  <p>This course focuses on the business leadership of AI. Students learn to identify high-value AI opportunities, build a compelling business case, formulate an enterprise-wide AI strategy, and design effective human-AI collaboration workflows to drive transformation.<\/p>\n  <p>The course also introduces the principles of experimental design and A\/B testing to rigorously measure the causal impact of AI interventions. It examines the broader economic impacts of AI to inform long-range planning.<\/p>\n<\/details>\n\n<details>\n  <summary><strong>EA 810, 820, 830, 840 Enterprise AI for Leaders<\/strong><\/summary>\n  <p>This program-long, hands-on sequence of courses allows students to apply skills from all courses to solve a real-world enterprise problem. The capstone runs across all four semesters, moving from proposal and design to final prototype and presentation.<\/p>\n  <p>The course also includes a speaker series.<\/p>\n<\/details>\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\">Degree Requirements<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<ul><li>Completion of 12 courses (30 credits total) plus two required 0-credit onboarding modules completed prior to the first semester.<\/li><li>Participation in live online sessions and team-based labs<\/li><li>Capstone deliverables demonstrating applied use of AI stacks<\/li><\/ul>\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\">Dates and Deadlines<\/h3><div class=\"bu_collapsible_section\" style=\"display: none;\"><\/p>\n\n\n\n<ul><li>Application Deadline<ul><li><strong>Main Application Deadline: <\/strong>July 1, 2026<\/li><li><strong>Final Application Deadline: <\/strong>August 9, 2026<\/li><li><strong>Fall Semester Class Starts: <\/strong>September 2, 2026<\/li><\/ul><\/li><li>Information Sessions<ul><li><a href=\"https:\/\/bostonu.zoom.us\/meeting\/register\/RvM5Q22gSce4AGAdQ-QGWw\">Monday, 6\/1\/2026: 12-1 PM<\/a><\/li><li><a href=\"https:\/\/bostonu.zoom.us\/meeting\/register\/tEumZn-VQ7-IUmQCCodsqQ\">Wednesday, 6\/17\/2026: 5-6 PM<\/a><\/li><\/ul><\/li><\/ul>\n\n\n<p><\/div>\n<\/div>\n\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>Transcripts <\/li><li>CV\/Resume <\/li><li>Personal Statement <\/li><li>Optional letter of recommendation <\/li><li>GMAT\/GRE not required<\/li><\/ul>\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=\"298\" height=\"199\" src=\"\/online\/files\/2025\/05\/LLM-typing.jpg\" alt=\"\" class=\"wp-image-2285\"\/><\/figure>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n<\/div><\/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 MS in Enterprise AI<\/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><strong><strong>Lead AI Implementation Across the Enterprise:<\/strong> <\/strong><\/strong><\/strong>Learn how to embed AI into core systems, solutions, and workflows, and how to deploy, operationalize, and govern it across the organization.<\/li><li><strong><strong>LLMs and Modern AI Applications<\/strong>:<\/strong> Explore how large language models and agent-style systems are used in products and operations, and what it takes to run them reliably.<\/li><li><strong><strong>Learn live, every week<\/strong>: <\/strong>Sessions are taught from Boston University&#8217;s <a href=\"https:\/\/www.bu.edu\/online\/who-we-are\/online-learning-approach\/\">high-production studios<\/a>, giving you direct, real-time faculty connection and the momentum that helps working professionals finish.<\/li><li><strong><strong>Build AI you can defend: <\/strong><\/strong>Ethics is a required core course, not a footnote: make fair, compliant, defensible decisions and navigate frameworks including GDPR and CCPA. <\/li><li><strong><strong>Earn it without pausing your career: <\/strong><\/strong>100% online with weekly live sessions, and at $25,000 total tuition, an accessible AI master&#8217;s degree from Boston University.<\/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=\"has-text-align-left program-block--career-paths__footer-title\">Career Outcomes<\/h3>\n\n\n\n<p><span class=\"has-inline-color has-white-color\">Possible career paths<\/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><strong><strong>Enterprise IT &amp; Architecture Leadership<\/strong><\/strong><\/strong><\/h4>\n\n\n\n<p>Evolving leadership roles such as enterprise architect, solutions architect, and technical program lead, responsible for embedding AI across the systems organizations depend on.<\/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><strong><strong>AI Implementation Roles<\/strong><\/strong><\/strong><\/h4>\n\n\n\n<p>Future-facing roles, including AI implementation leads and MLOps practitioners, taking AI from pilots to enterprise-scale production.<\/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><strong><strong>AI Governance, Ethics &amp; Risk<\/strong><\/strong><\/strong><\/h4>\n\n\n\n<p>Emerging roles overseeing fairness, privacy, and regulatory compliance (GDPR, CCPA) as organizations operationalize AI responsibly.<\/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 System Architecture &amp; Integration.<\/strong> Design how models, services, and data fit into real enterprise systems.<\/li><li><strong>MLOps, Deployment &amp; Monitoring.<\/strong> Deploy AI to production with Docker, CI\/CD, and Kubernetes, and keep systems healthy over time.<\/li><li><strong>LLM Applications &amp; Enterprise AI Agents.<\/strong> Build LLM-powered applications and autonomous agents that automate enterprise workflows.<\/li><li><strong>AI Ethics, Privacy &amp; Compliance.<\/strong> Establish practical guardrails for fairness, bias mitigation, privacy, and regulation.<\/li><li><strong>Data Management for AI.<\/strong> Work effectively with enterprise data at scale: SQL, querying, and data management that make AI reliable. <!-- VALUE-PROP FIX: replaces \"Data Pipelines & AI Infrastructure\"; DX604 is data management, not pipeline\/infra engineering. --><\/li><li><strong>Enterprise AI Strategy &amp; Transformation.<\/strong> Identify high-value opportunities, build the business case, and lead transformation.<\/li><li><strong>Measuring AI Impact.<\/strong> Use experimental design and A\/B testing to demonstrate causal business value.<\/li><\/ul>\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><strong>Azer&nbsp;Bestavros<\/strong><\/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=\"197\" height=\"262\" src=\"\/online\/files\/2026\/01\/Bestavros-BU-Today-Portrait-e1575671796454.jpg\" alt=\"\" class=\"wp-image-7295\"\/><\/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>This program<strong>&nbsp;<\/strong>takes&nbsp;the deep technical foundations from data science and computer science and&nbsp;connects&nbsp;them to real enterprise challenges.&nbsp;You\u2019ll&nbsp;learn how to operationalize AI, build resilient AI systems, manage risk and governance, and lead interdisciplinary teams.<\/em>&#8220;<\/p><cite><strong><br><\/strong>Warren Distinguished Professor of Computer Science <br>Associate Provost for Computing &amp; Data Sciences<\/cite><\/blockquote><\/figure>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<p><style>\n  .faq-accordion details {\n    border-bottom: 1px solid #ddd;\n    padding: 18px 0;\n  }\n\n  .faq-accordion summary {\n    cursor: pointer;\n    line-height: 1.35;\n  }\n\n  .faq-accordion summary h3 {\n    display: inline;\n    font-size: 1.35rem;\n    line-height: 1.35;\n    margin: 0;\n    padding-left: 8px;\n  }\n\n  .faq-accordion details p {\n    margin: 14px 0 0 28px;\n    max-width: 900px;\n    line-height: 1.6;\n  }\n<\/style>\n\n<div class=\"faq-accordion\">\n\n<h2>Frequently Asked Questions<\/h2>\n\n<details>\n  <summary><h3>What is enterprise AI?<\/h3><\/summary>\n  <p>Enterprise AI is the practice of integrating, operationalizing, and governing artificial intelligence inside the core systems and workflows an organization runs on, moving AI from isolated pilots to reliable, secure, production-scale solutions. It spans AI system architecture, LLM applications, MLOps, AI agents, data management, ethics, and measurable business impact.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>Who is the Online MS in Enterprise AI for?<\/h3><\/summary>\n  <p>It is designed for enterprise IT and architecture leaders, data and platform specialists, AI and product-facing technologists, and governance, ethics, and risk professionals who are ready to move AI from experimentation to enterprise-scale implementation, and to lead it.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>Do I need a coding or technical background to apply?<\/h3><\/summary>\n  <p>A working foundation in technology, software, or data is helpful, but you do not need to be a developer. The program builds the rest, including a Python and SQL toolkit, so professionals from IT, architecture, and technology-leadership backgrounds can succeed.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>Is the GRE or GMAT required?<\/h3><\/summary>\n  <p>No. The GRE and GMAT are not required for admission to the Online MS in Enterprise AI.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>How long does the program take, and what is the format?<\/h3><\/summary>\n  <p>The program is 30 credits and can be completed in about 16 months, 100% online, with weekly live sessions delivered from Boston University&#8217;s high-production studios plus applied team labs.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>How much does the Online MS in Enterprise AI cost?<\/h3><\/summary>\n  <p>Total tuition is $25,000, a high-quality, accessible AI master&#8217;s degree from Boston University. Many students also use employer tuition benefits. <a href=\"https:\/\/www.bu.edu\/online\/degrees-certificates\/employer-tuition-benefit\/\">See how employer tuition benefits can apply<\/a>.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>How is Enterprise AI different from a data science or AI-in-business master&#8217;s?<\/h3><\/summary>\n  <p>Boston University offers several AI master&#8217;s degrees for different goals, and the distinction is clear. If the MS in AI in Business asks how an organization should <em>use<\/em> AI strategically, the MS in Enterprise AI asks how an organization actually <em>implements and operationalizes<\/em> it: embedding AI into real systems, running it in production, governing it ethically, and proving its business impact. Across BU&#8217;s AI portfolio, AI in Business centers on strategy, Enterprise AI on implementation, Software Engineering for AI on building AI systems, Computer Science and AI on deep technical foundations, and Data Science on analytics. The right fit depends on the role you intend to grow into. <a href=\"https:\/\/www.bu.edu\/online\/degrees-certificates\/ai-programs\/\">Compare BU&#8217;s AI programs \u2192<\/a><\/p>\n<\/details>\n\n<details>\n  <summary><h3>Will my diploma or transcript say the degree was earned online?<\/h3><\/summary>\n  <p>No. At Boston University, the degree is not differentiated by whether you study online or on campus. Your diploma will not state that it was earned online, and you receive the same Boston University credential as on-campus graduates. Individual coursework may appear on the transcript, but the degree itself is identical.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>Do I need to quit my job to earn this degree?<\/h3><\/summary>\n  <p>No. The program is designed for working professionals. It is delivered 100% online with weekly live sessions, plus coursework you complete on your own schedule, so most students continue to work full-time while they study.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>Is the online degree the same as Boston University&#8217;s on-campus degree?<\/h3><\/summary>\n  <p>Yes. BU&#8217;s online programs are taught by the same faculty and held to the same academic standards as its on-campus programs, and they award the same Boston University credential.<\/p>\n<\/details>\n\n<details>\n  <summary><h3>What is Boston University&#8217;s ranking?<\/h3><\/summary>\n  <p>Boston University is ranked among the top 50 national universities by U.S. News &amp; World Report in its 2026 Best Colleges rankings, where BU is listed at #42 among National Universities.<\/p>\n<\/details>\n\n<\/div><\/p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Building an AI model is rarely the hard part. The work that determines whether AI delivers lasting value is making it run reliably inside a real organization: integrated into core systems, deployed and monitored in production, and governed responsibly. 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