Carnegie Mellon University

How this program compares

Budget-wise, $121.9K puts this master's program at the 97th percentile on cost — about 184% above the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

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.

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 higher than about 76% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.

Identify potential AI applications for large-scale practical problems.

Budget planners should note $121.9K estimated total tuition (97th percentile among AI master's programs, above the $42.9K average). Applicants should weigh that premium against the program's outcomes and brand.

Career Outcomes

Graduates of Carnegie Mellon University's MS in Artificial Intelligence and Innovation most often target AI Engineer roles, where reported compensation runs around $120,000. Its focus on Generative AI and LLMs and Deep Learning maps directly to how employers 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 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

Admission to Carnegie Mellon University's MS in Artificial Intelligence and Innovation 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[1]

Frequently Asked Questions