NE

Bachelor's in AI, Master's in Cybersecurity
On-Campus, Online, Hybrid

Webster University

Webster University

  • Lincoln
About This Program

This master’s program integrates advanced cybersecurity techniques with artificial intelligence to defend networks and systems against sophisticated attacks.

Student Reviews
Write a Review
What You'll Learn

Participants gain a background in machine learning and deep learning while using Python to resolve AI-related cybersecurity questions.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The program structure includes cybersecurity core courses and specialized emphasis classes in deep learning, image and video analysis, and AI with Python.
Typical Course Topics
1. Network and Application Security 2. Machine Learning Algorithms for Cybersecurity 3. Cryptography and Privacy Engineering 4. Adversarial Machine Learning 5. Threat Modeling and Penetration Testing 6. Secure MLOps and AI Governance
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in a related field such as computer science, IT, or cybersecurity is required, along with a minimum GPA of 3.0 and relevant technical background or work experience.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• 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.

Check Application Deadlines
Career Opportunities in AI

Thrive as Cybersecurity Analyst in Cybersecurity AI with machine learning 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
Cybersecurity Analyst with AI Skills: $120,000
Total compensation (entry to mid-level)
AI Job Growth
32.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Cybersecurity Engineer 2. Threat Intelligence Analyst 3. Secure ML Specialist 4. Cybersecurity AI Researcher
Top AI Employers (Industry-Wide):
Top employers include Microsoft, Cisco, IBM, and government agencies like NSA and FBI.
Explore AI Career Paths
Program Details
Duration
  • 2.5 Year
Tuition
  • 27,900
Format
On-Campus, Online, Hybrid
Specializations
Machine Learning
Deep Learning
Official Resources
Program Website
Request Information