Carnegie Mellon University

How this program compares

Carnegie Mellon University's BS in Artificial Intelligence lists about $280.0K total tuition — about 212% above the $89.8K AI bachelor's average (96th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a strong GPA (typically 3.5+), SAT/ACT scores (optional at many institutions), and coursework in math, physics, and computer science. Demonstrated programming experience and interest in AI through projects or competitions strengthens applications.

About This Program

This pioneering degree focuses on transforming complex data into actionable decisions through a deep understanding of vision, language, and huge databases. Coursework concentrates on Machine Learning and Computer Vision. Most students complete it in about 4 years.

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

Design and implement machine learning algorithms for predictive modeling.

Estimated total tuition is $280.0K, above the $89.8K average for AI bachelor's programs in our database and in the 96th percentile on cost at this level. 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 higher than about 97% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Career Outcomes

The BS in Artificial Intelligence at Carnegie Mellon University (Pittsburgh, Pennsylvania) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Machine Learning and Computer Vision 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. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. Robotics Engineer

What You'll Learn

• Design and implement machine learning algorithms for predictive modeling.
• Develop computer vision systems for image recognition and analysis.
• Build natural language processing models for text understanding and generation.
• Apply AI techniques to robotics and autonomous systems.

Curriculum Highlights

The curriculum includes computational modeling, symbolic computation, ethics, and core AI courses in perception and machine learning.

Top Employers

Top employers include Google, Microsoft, Amazon, and OpenAI.

Admissions

Admission to Carnegie Mellon University's BS in Artificial Intelligence generally expects a high school diploma. The GRE is not required 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: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions