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 computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and background in linear algebra and calculus.

About This Program

This graduate-level certificate program focuses on the development and analysis of intelligent systems through advanced computer science coursework.

Career Outcomes

Develop machine learning skills to advance as Machine Learning Engineer in Cross-Industry AI

• 1. AI Systems Engineer
• 2. Machine Learning Specialist
• 3. Intelligent Systems Developer
• 4. Human-AI Interaction Designer

What You'll Learn

• Design and implement machine learning models for intelligent systems.
• Apply human-centered design principles to AI interfaces.
• Evaluate interpretability and explainability in AI decision-making.
• Build adaptive and conversational agents for real-world applications.

Curriculum Highlights

The program requires 12 credits of graduate courses, including selections from AI, robotics, visual interfaces, and advanced software engineering.

Top Employers

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

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and background in linear algebra and calculus.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)