Webster 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 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.

About This Program

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

Career Outcomes

Thrive as Cybersecurity Analyst in Cybersecurity AI with machine learning expertise

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

What You'll Learn

• Apply machine learning to detect and predict cyber threats.
• Design secure AI models resistant to adversarial attacks.
• Implement cryptography in AI-driven security systems.
• Conduct automated threat hunting using AI analytics.

Curriculum Highlights

The program structure includes cybersecurity core courses and specialized emphasis classes in deep learning, image and video analysis, and AI with Python.

Top Employers

Top employers include Microsoft, Cisco, IBM, and government agencies like NSA and FBI.

Admissions

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.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

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