Columbia University in the City of New York

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

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.

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+)