Carnegie Mellon University

How this program compares

At an estimated $60.3K in total tuition, the MS in Artificial Intelligence Engineering sits about 41% above the $42.9K average for AI master's programs in our database — placing it in the 76th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

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.

Budget planners should note $60.3K estimated total tuition (76th percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in cheaper than about 53% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $140,000.

Design and implement scalable AI systems for practical problems.

Career Outcomes

Graduates of Carnegie Mellon University's MS in Artificial Intelligence Engineering most often target Machine Learning Engineer roles, where reported compensation runs around $140,000. Its focus on Machine Learning and Deep Learning maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Carnegie Mellon University's MS in Artificial Intelligence Engineering generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions