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Master's in AI
On-Campus

Carnegie Mellon University

MS in Artificial Intelligence and Innovation

  • Pittsburgh
About This Program

This professional master’s program focuses on developing large-scale AI solutions and preparing students for entrepreneurial and leadership careers.

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What You'll Learn

Students gain expertise in identifying AI market niches, assembling development teams, and creating innovative products for external stakeholders.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The four-semester structure includes core innovation sequences, machine learning requirements, electives in big data, and a substantive capstone project.
Typical Course Topics
1. Machine Learning 2. Natural Language Processing 3. Deep Learning 4. AI Systems Engineering 5. AI Innovation and Deployment 6. Generative AI Models[1][2]
Program Specializations:
Generative AI and LLMs
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree with a minimum GPA of 3.0, preferably in computer science or statistics, demonstrating undergraduate-level mastery in these areas.[1
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 102+ with no subscore below 25 / IELTS 7.5+ with no band below 7.5)[1]

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required[1]

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

Thrive 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: $120,000
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 Product Manager 4. AI Innovation Consultant[1]
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Amazon, Microsoft, and innovative AI firms such as OpenAI and DeepMind.[1
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 121,875
Format
On-Campus
Specializations
Generative AI and LLMs
Deep Learning
Official Resources
Program Website
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