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Master's in AI
On-Campus

Carnegie Mellon University

MS in Computer Science – Artificial Intelligence

  • Pittsburgh
About This Program

This program provides rigorous training in the design, engineering, and deployment of practical artificial intelligence applications for industry.

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What You'll Learn

Students learn advanced machine learning, natural language processing, and big data analytics to solve complex, real-world problems.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core AI classes, knowledge area requirements, electives, a summer internship, and an innovation-focused capstone project.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Artificial Intelligence Fundamentals 4. Natural Language Processing 5. Computer Vision 6. Reinforcement Learning
Program Specializations:
Machine Learning
Natural Language Processing (NLP)
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming, statistics, and undergraduate-level computer science coursework.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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.

Check Application Deadlines
Career Opportunities in AI

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Engineer: $150,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. AI Systems Architect 4. Data Scientist (AI focus)
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, and Meta.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 163,410
Format
On-Campus
Specializations
Machine Learning
Natural Language Processing (NLP)
Official Resources
Program Website
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