Columbia University in the City of New York

How this program compares

Columbia University in the City of New York's AI & Machine Learning Professional Program lists about $22K total tuition — roughly 49% below the $42.9K AI master's average (30th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in a STEM field with coursework in programming, calculus, and statistics is typically required, along with relevant professional experience for professional programs. GRE is optional or not required.

About This Program

This five-month professional program focuses on the practical application of machine learning techniques using Python for data analytics. Coursework concentrates on Natural Language Processing (NLP) and Machine Learning. Most students complete it in about 1.5 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Build and deploy machine learning models for real-world data problems.

Budget planners should note $22K estimated total tuition (30th percentile among AI master's programs, below the $42.9K average). That makes it one of the more affordable options for students weighing return on investment.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 82% of the New York programs in our data, where typical tuition runs near $59.9K.

Career Outcomes

Graduates of Columbia University in the City of New York's AI & Machine Learning Professional Program most often target Machine Learning Engineer roles, where reported compensation runs around $120,000. Its focus on Natural Language Processing (NLP) and Machine Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Data Scientist
• 3. Computer Vision Specialist
• 4. NLP Engineer

What You'll Learn

• Build and deploy machine learning models for real-world data problems.
• Apply deep learning techniques to image recognition and natural language tasks.
• Evaluate and optimize AI algorithms for performance and scalability.
• Understand ethical implications and societal impacts of AI systems.

Curriculum Highlights

The curriculum covers Python for data analytics followed by an intensive series of modules on applied machine learning techniques.

Top Employers

Top employers include Google, Amazon, Microsoft, and Meta.

Admissions

Admission to Columbia University in the City of New York's AI & Machine Learning Professional Program generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions