Curriculum
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Our Curriculum
Boston University’s online MS in Enterprise AI is a 30-credit program designed to help working professionals build, deploy, and govern AI systems in enterprise environments.
The program consists of 12 courses (30 credits total) delivered fully online and designed to be completed in four sequential semesters, plus two required 0-credit onboarding modules completed prior to the first semester. The format combines asynchronous coursework with scheduled live sessions.
Across the curriculum, students build practical skills in machine learning foundations, data engineering for AI, LLM application development (prompting, RAG, and fine-tuning), MLOps, enterprise agents, AI governance, and AI strategy. A program-long “Enterprise AI for Leaders” sequence runs through all four semesters and guides students from problem selection to prototype and final presentation.
Program Overview
Pre-Program (2 weeks) — EA 500 Program Orientation (0 credits)
Pre-Program (2 weeks) — EA 501 Enterprise AI Bootcamp (0 credits)
Semester 1
Semester 2
Semester 3
Semester 4
Curriculum FAQs
What is the format of the courses offered in the online MS in Enterprise AI program curriculum?
The Enterprise AI program is 30 credits (12 courses) delivered 100% online and designed for working professionals. The format combines asynchronous coursework with scheduled live sessions and is designed to be completed in four sequential semesters, plus two required 0-credit onboarding modules completed before Semester 1.View common program questions or contact our admissions team today for details.
What are the prerequisites for these courses?
While specific prerequisites may vary, applicants typically need a bachelor’s degree in a related field (such as computer science, engineering, or mathematics). Some foundational knowledge in statistics, programming, mathematics, and familiarity with common data visualization tools, are beneficial. Review the application requirements and frequently asked questions today, or contact our admissions team for more information about our online data analytics courses.
What course topics will I study in this online MS in Enterprise AI curriculum?
Students study enterprise AI end-to-end, including machine learning foundations, data engineering for AI, LLM application development (prompting, RAG, fine-tuning), MLOps and model lifecycle management, enterprise agents, governance/ethics, and strategy and transformation. The Enterprise AI for Leaders sequence integrates applied work across all four semesters.
What is the application process?
To apply, submit transcripts, a CV or resume, proof of English proficiency, a personal statement, and any optional requirements (such as GRE/GMAT scores, etc.).
Application deadlines for Fall 2026 enrollment are:
- Priority Application Deadline: March 1, 2026
- Main Application Deadline: July 1, 2026
- Final Application Deadline: August 9, 2026
Are you ready to learn how to analyze data and work at the highest levels in this exciting, growing field? Start your application or request more information today!