NY

Master's in AI
Online, Hybrid

Columbia University in the City of New York

AI & Machine Learning Professional Program

  • New York
About This Program

This five-month professional program focuses on the practical application of machine learning techniques using Python for data analytics.

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What You'll Learn

Participants learn to apply supervised and unsupervised learning models and gain the necessary programming skills for real-world AI projects.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum covers Python for data analytics followed by an intensive series of modules on applied machine learning techniques.
Typical Course Topics
1. Machine Learning Foundations 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Ethics and Applications
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

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

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Data Scientist 3. Computer Vision Specialist 4. NLP Engineer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 22,000
Format
Online, Hybrid
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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