Carnegie Mellon University

How this program compares

At an estimated $73.8K in total tuition, the MS in Artificial Intelligence Engineering: Information Security sits about 72% above the $42.9K average for AI master's programs in our database — placing it in the 87th percentile on cost among the 394 we track at this level. It runs on a full-time schedule (on-campus).

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. Coursework concentrates on AI Ethics/Policy and MLOps/AI Engineering. Most students complete it in about 1.5 years.

Graduates frequently move into roles such as Software Developer, with reported salaries around $140,000.

Design secure AI models resistant to adversarial attacks and data poisoning.

Budget planners should note $73.8K estimated total tuition (87th percentile among AI master's programs, above the $42.9K average). 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 56% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Career Outcomes

Graduates of Carnegie Mellon University's MS in Artificial Intelligence Engineering: Information Security most often target Software Developer roles, where reported compensation runs around $140,000. Its focus on AI Ethics/Policy and MLOps/AI Engineering maps directly to how employers in cybersecurity ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 32% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Carnegie Mellon University's MS in Artificial Intelligence Engineering: Information Security 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

Frequently Asked Questions