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Master's in AI
On-Campus

Carnegie Mellon University

MS in Artificial Intelligence Engineering: Information Security

  • Pittsburgh
About This Program

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

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What You'll Learn

Graduates learn to apply AI to information security systems and protect AI infrastructure from emerging digital threats and vulnerabilities.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure features AI engineering core courses, information security specialization, and study options including a thesis or applied internship.
Typical Course Topics
1. Adversarial Machine Learning 2. Secure AI Systems and MLOps 3. Cryptography for AI 4. AI-Driven Threat Detection 5. Network Security for AI Infrastructure 6. AI Risk Management and Governance
Program Specializations:
AI Ethics/Policy
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as Software Developer in Cybersecurity AI with cybersecurity expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Security Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
32.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Security Engineer 2. Cybersecurity AI Researcher 3. Secure ML Engineer 4. Threat Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers include tech leaders like Google, Microsoft, Amazon, and government agencies such as NSA and DHS.
Explore AI Career Paths
Program Details
Duration
  • 1.5 Year
Tuition
  • 73,800
Format
On-Campus
Specializations
AI Ethics/Policy
MLOps/AI Engineering
Official Resources
Program Website
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