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 with some programming experience (Python preferred) and background in linear algebra and calculus is recommended; no GRE required.

About This Program

This 18-month executive certificate program is designed to provide business and technical leaders with a deep understanding of AI strategy.

Career Outcomes

Strengthen deep learning skills to advance as Machine Learning Engineer in Engineering AI

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Product Developer

What You'll Learn

• Design and implement machine learning models for real-world applications
• Apply deep learning techniques to image and language data
• Evaluate ethical implications and biases in AI systems
• Build and deploy AI solutions using neural networks and optimization

Curriculum Highlights

The program includes six core courses covering AI fundamentals, machine learning, computer vision, robotics, and security and policy issues.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and AI research labs at tech firms.

Admissions

A bachelor's degree with some programming experience (Python preferred) and background in linear algebra and calculus is recommended; no GRE 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 preferred
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)