Boston University campus

Engineering

MS in Enterprise AI at Boston University

Boston University, United States

Programme overview

A practitioner's degree for enterprise AI implementation aimed at technical leaders who build, govern and deploy AI systems at scale. It comprises 12 courses totalling 30 units plus two 0-unit orientation modules, with three courses per term.

Faculty: Faculty of Computing & Data Sciences  |  Duration: 16 continuous months (4 terms) including a required summer term; extendable up to 8 terms (32 months); 30 units  |  Intake: Fall and spring  |  Study mode: full-time  |  Location: Boston, MA, United States

What you will study

Four Enterprise AI for Leaders seminars (1.5 units each) and eight 3-unit core courses including Programming Toolkit for Data Science, Foundations of Machine Learning for Enterprise Intelligence, Data Engineering & Strategy for AI, Designing & Building LLM Applications, MLOps, AI Governance, Ethics and Sustainability, Designing and Deploying Enterprise Agents, and AI Strategy & Business Transformation.

Official programme page

Application information

Graduate School of Arts & Sciences master's programmes admit for Fall 2027; Spring 2027 entry is offered for selected programmes (Economics MS programmes, History of Art & Architecture MA, Preservation Studies MA, Online MS in Computer Science & Artificial Intelligence).

Graduate School of Arts & Sciences Fall 2027 master's deadlines are mostly priority January 15 and final March 15 (African American & Black Diaspora Studies priority February 15, final March 15; Preservation Studies February 15; Sociology and History of Art & Architecture January 15). Spring 2027 deadlines for selected programmes are priority October 15 and final November 15. Applications are submitted through the online application; the GRE is required only for the Economics MS/MA programmes and the MS in Psychological & Brain Sciences.

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