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Master's in AI
On-Campus

Carnegie Mellon University

MS in Artificial Intelligence Engineering

  • Pittsburgh
About This Program

This degree teaches students to design and build AI-orchestrated systems capable of operating within complex engineering constraints.

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What You'll Learn

Students learn to design system functionality alongside AI mechanisms, producing more adaptable, resilient, and trustworthy engineering solutions.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes ECE AI core courses, domain-specific electives, and a graduate project focused on integrated AI-engineered systems.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Artificial Intelligence Systems 4. Natural Language Processing 5. Computer Vision 6. AI Engineering Capstone
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, statistics, or related field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming, probability, and statistics.
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.

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Career Opportunities in AI

Position as Machine Learning Engineer in Engineering AI with trustworthy engineering expertise

Estimated Industry Salary
AI Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. AI Systems Architect 4. Research Engineer in AI
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, Meta, and leading AI research labs.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 60,336
Format
On-Campus
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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