Columbia Engineering’s Master of Science in Artificial Intelligence
AI is Reshaping Business. The Time to Specialize is Now.
Get Program Info
Ready to learn more? Let us help you advance closer to your long-term career goals.
All form fields required.
AI is already a core business capability. As adoption accelerates, the demand for AI leadership is outpacing supply. Columbia Engineering’s new Master of Science in Artificial Intelligence is designed to create leaders ready to build, deploy and guide AI responsibly. As a graduate student in the MSAI program, you will:
- Specialize in one of 11 concentrations.
- Apply your skills to real-world problems, not just theory.
- Study in New York City with an ambitious cohort of peers.
- Master the physical and digital practice of AI.
- Become an expert at applying AI knowledge to your specific field.
- Build a foundation in AI ethics and governance.
Upcoming Dates
Next Start Date
Sept. 8, 2026
Second Priority Deadline
April 15, 2026
Regular Deadline
May 15, 2026
Who Should Enroll in the MSAI Program?
This program is a strong fit if you’re:
- A current senior or recent graduate who wants to develop expertise in a specialty within AI, not just be an AI generalist.
- An ambitious student who wants the benefit of a high-quality program with connections to New York City-based companies and industries.
- A professional with technical skills and programming experience who sees the potential for AI but wants a formal credential in the field.
Full-time, on-campus experience
11 specialized concentrations
Ethics, security and governance integrated
Study with a cohort of high-achieving peers
Advantages of Attending Columbia Engineering in New York City
As an MSAI student, you learn in a city where finance, healthcare, media, public policy and technology intersect. You have access to Columbia’s network of peers and professionals both in New York City and around the world.
Our two-semester capstone experience isn’t a simulation or a typical class project. It is a high-stakes, industry-partnered project designed to emulate an internship where you apply your chosen concentration to a real-world problem.
Build Your Foundation in Core AI Courses
Your concentration helps you build depth for the work you want to do next. Before taking courses in your concentration, you must complete four core courses for 12 credits:
- Artificial Intelligence
- One of four specialized Machine Learning courses:
- Machine Learning
- Machine Learning for OR & FE
- Machine Learning For Signals, Information and Data
- Machine Learning for Data Science
- One of three specialized Vision & Language courses:
- Natural Language Processing
- Computer Vision I
- Computer Vision II
- Ethical and Responsible Artificial Intelligence
- Professional Development and Leadership
Choose a Concentration That Fits Your Career Goals
After completing the core curriculum, you choose from 11 concentrations that help you apply AI in a specific field or industry.
Career Outcomes in Artificial Intelligence
The Columbia MSAI program offers you skills that industry needs to fill the leadership talent gap in AI. That includes technical depth, expertise in AI ethics, security and governance, and applied project experience. Potential careers for MSAI graduates include:
- AI/ML Engineer
- Data Scientist, AI Focus
- AI Applied Scientist
- AI Research Scientist
- Robotics Engineer
- Computer Vision Engineer
- Fraud Detection Analyst (AI)
- Risk Analytics Manager (AI)
- AI Consultant
- AI Operations Lead (MLOps)
- NLP (Natural Language Processing) Specialist
- AI Architect
- AI Product Manager
- Quantitative Analyst (AI/ML)
- AI Ethicist / Governance Specialist
- FinTech AI Engineer
- HealthTech AI Specialist
- AI Software Developer
- Generative AI Engineer
- AI Technical Lead
Ready to Take the Next Step?
Become the AI Specialist Businesses Need
If you want an immersive experience and a faster route into specialized AI work, Columbia Engineering’s on-campus MSAI is built for you. Request information to explore concentrations, admissions requirements and what full-time student life looks like in New York City.
The Fu Foundation School of Engineering and Applied Science of Columbia University
500 W. 120th Street #540, New York, NY 10027
Privacy Policy Accessibility Cookies
+1 (212) 854-6447 | engineeringonline@columbia.edu