TX

Master's in Cybersecurity, Master's in ML
Online

The University of Texas at Tyler

The University of Texas at Tyler

  • Tyler
About This Program

This graduate program merges cybersecurity defense with data science, training students to use analytical tools to detect and prevent sophisticated digital threats.

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What You'll Learn

Students learn to analyze large datasets for security patterns, manage information risk, and develop proactive defense strategies using advanced analytical models.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum includes core topics in information assurance, data mining, network security, and predictive modeling within a cybersecurity framework.
Typical Course Topics
1. Cybersecurity Foundations 2. Network Security and Cryptography 3. Cyber Analytics I & II 4. Digital Forensics & Incident Management 5. Applied Cybersecurity Analytics & Risk Management 6. AI and Machine Learning in Cybersecurity
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold an accredited bachelor's degree in cybersecurity, computer science, IT, engineering, data science, or related fields, with a minimum GPA of 2.75–3.0.[1] Some programs accept degrees in business, mathematics, or related disciplines if technical prerequisites in programming, networking, and databases are completed.[1
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in related field
• GRE/GMAT: Not Required[3]
• 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.

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Career Opportunities in AI

Advance as Cybersecurity Analyst 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
Cybersecurity Analyst: $104,992[1
Total compensation (entry to mid-level)
AI Job Growth
13.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Cybersecurity Analyst 2. Threat Intelligence Analyst 3. Security Operations Specialist 4. Cyber Risk Manager
Top AI Employers (Industry-Wide):
Top employers in cybersecurity include Microsoft, Cisco, IBM, Deloitte, and government agencies including the NSA and FBI.[1
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 15,048
Format
Online
Specializations
Machine Learning
Official Resources
Program Website
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