Carnegie Mellon University
MS in Artificial Intelligence Engineering
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 $60.3K in total tuition, the MS in Artificial Intelligence Engineering sits about 42% above the $42.4K average for AI master's programs in our database β placing it in the 77th percentile on cost among the 531 we track at this level.
Admission Snapshot
Typical admitted student: 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.
About This Program
This degree teaches students to design and build AI-orchestrated systems capable of operating within complex engineering constraints. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 1.5 years.
Estimated total tuition is $60.3K, above the $42.4K average for AI master's programs in our database and in the 77th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Position as Machine Learning Engineer in Engineering AI with trustworthy engineering expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.
Career Outcomes
Position as Machine Learning Engineer in Engineering AI with trustworthy engineering expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. AI Systems Architect
- 4. Research Engineer in AI
What You'll Learn
- Design and implement scalable AI systems for practical problems
- Apply machine learning algorithms to engineering applications
- Develop deep learning models for computer vision and NLP
- Engineer AI solutions with ethical and deployment considerations
Curriculum Highlights
The curriculum includes ECE AI core courses, domain-specific electives, and a graduate project focused on integrated AI-engineered systems.
Top Employers
Top employers include Google, Microsoft, Amazon, Meta, and leading AI research labs.
Admissions
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.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.5+)
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