Webster University

How this program compares

Webster University's MS in Cybersecurity with AI Emphasis lists about $27.9K total tuition — roughly 35% below the $42.9K AI master's average (38th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

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. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 2.5 years.

Apply machine learning to detect and predict cyber threats.

Estimated total tuition is $27.9K, below the $42.9K average for AI master's programs in our database and in the 38th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 8 AI-related programs we track in Nebraska, of which about 63% offer an online option. On price, it comes in higher than about 63% of the Nebraska programs in our data, where typical tuition runs near $18.9K.

Graduates frequently move into roles such as Cybersecurity Analyst, with reported salaries around $120,000.

Career Outcomes

Webster University positions this master track for Cybersecurity Analyst careers — typical offers cluster around $120,000. Its focus on Machine Learning and Deep Learning 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 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

Admission to Webster University's MS in Cybersecurity with AI Emphasis generally expects a bachelor's degree. The GRE is not required 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: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions