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, engineering, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and coursework in AI, machine learning, or cybersecurity.

About This Program

This program explores the interplay between artificial intelligence and cybersecurity, focusing on security, privacy, and ethical implementation.

Career Outcomes

Excel as Software Developer in Cybersecurity AI with cybersecurity expertise

• 1. AI Security Engineer
• 2. Cybersecurity AI Researcher
• 3. Secure ML Engineer
• 4. Threat Intelligence Analyst

What You'll Learn

• Design secure AI models resistant to adversarial attacks and data poisoning.
• Implement cryptography and privacy techniques in AI systems.
• Develop automated threat detection using machine learning algorithms.
• Conduct risk assessments for AI deployments in high-stakes environments.

Curriculum Highlights

The structure features AI engineering core courses, information security specialization, and study options including a thesis or applied internship.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and government agencies such as NSA and DHS.

Admissions

A bachelor's degree in computer science, engineering, or a related technical field with a minimum GPA of 3.0 is required, along with programming experience and coursework in AI, machine learning, or cybersecurity.

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 90+ / IELTS 7.0+)