Carnegie Mellon University
MS in Artificial Intelligence and Innovation
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $121.9K in total tuition, the MS in Artificial Intelligence and Innovation sits about 187% above the $42.4K average for AI master's programs in our database β placing it in the 98th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: 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
About This Program
This professional master's program focuses on developing large-scale AI solutions and preparing students for entrepreneurial and leadership careers. Coursework concentrates on Generative AI and LLMs and Deep Learning. Most students complete it in about 2 years.
Estimated total tuition is $121.9K, above the $42.4K average for AI master's programs in our database and in the 98th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Thrive as AI Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.
Career Outcomes
Thrive as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. AI Product Manager
- 4. AI Innovation Consultant[1]
What You'll Learn
- Identify potential AI applications for large-scale practical problems.
- Develop and deploy innovative AI systems using machine learning and language technologies.
- Engineer practical AI solutions for real-world deployment.
- Prepare for entrepreneurial ventures in AI innovation.[1]
Curriculum Highlights
The four-semester structure includes core innovation sequences, machine learning requirements, electives in big data, and a substantive capstone project.
Top Employers
Top employers include tech leaders like Google, Amazon, Microsoft, and innovative AI firms such as OpenAI and DeepMind.[1
Admissions
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
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required[1]
Academic Requirements
- 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]
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