PA

Master's in AI
On-Campus

Carnegie Mellon University

MS in AI Engineering (ETIM Track)

  • Pittsburgh
About This Program

This interdisciplinary degree combines artificial intelligence fundamentals with innovation management to prepare STEM professionals for technology leadership roles.

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What You'll Learn

Graduates learn to lead innovation initiatives by defining strategic directions, aligning technology with business goals, and inspiring organizational change.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes core engineering innovation courses, artificial intelligence fundamentals, a capstone project, and a professional internship.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. AI Systems Engineering 4. Reinforcement Learning 5. Computer Vision 6. Natural Language Processing
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Requires a bachelor's degree in engineering, computer science, or a related technical field with a minimum GPA of 3.0, strong quantitative background including calculus and linear algebra, and programming experience; GRE is optional but recommended for competitive applicants.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)

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 Product Analyst in Business AI with innovation management expertise

Estimated Industry Salary
AI Engineer: $145,000
Total compensation (entry to mid-level)
AI Job Growth
32.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. AI Systems Architect 4. Technology Innovation Manager
Top AI Employers (Industry-Wide):
Top employers include Google, Meta, Amazon, NVIDIA, and tech consultancies like McKinsey Digital.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 80,448
Format
On-Campus
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
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