Columbia University in the City of New York

How this program compares

At an estimated $22K in total tuition, the AI & Machine Learning Professional Program sits roughly 48% below the $42.4K average for AI master's programs in our database — placing it in the 31st percentile on cost among the 531 we track at this level. It is one of the 57% 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.

Estimated total tuition is $22K, below the $42.4K average for AI master's programs in our database and in the 31st percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Develop programming skills to advance as Machine Learning Engineer in Engineering AI Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Develop programming skills to advance as Machine Learning Engineer in Engineering AI

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)