Carnegie Mellon University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming, statistics, and undergraduate-level computer science coursework.

About This Program

This program provides rigorous training in the design, engineering, and deployment of practical artificial intelligence applications for industry.

Career Outcomes

Lead as AI Engineer in Cross-Industry AI with machine learning expertise

• 1. AI Research Scientist
• 2. Machine Learning Engineer
• 3. AI Systems Architect
• 4. Data Scientist (AI focus)

What You'll Learn

• Design and implement machine learning models for complex problems
• Develop AI systems using deep learning and neural networks
• Apply natural language processing and computer vision techniques
• Deploy scalable AI solutions for practical applications

Curriculum Highlights

The curriculum includes core AI classes, knowledge area requirements, electives, a summer internship, and an innovation-focused capstone project.

Top Employers

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

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming, statistics, and undergraduate-level computer science coursework.

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+)