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, 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.

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+)