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Master's in Cybersecurity
On-Campus, Online

The University of Findlay

The University of Findlay

  • Findlay
About This Program

This 34-credit Professional Science Master’s program combines advanced cybersecurity training with big data analytics to prepare students for executive-level leadership roles in tech-driven industries.

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What You'll Learn

Students develop skills in secure coding, predictive analysis, and data mining, while honing business competencies in finance, strategic planning, and project management for IT environments.

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 a technical component with courses in Python programming and risk management, alongside professional development in management and leadership, ending with a capstone project.
Typical Course Topics
1. Cybersecurity Analytics 2. Network Security 3. Cryptography and Encryption 4. Digital Forensics 5. Penetration Testing 6. Data Security and Privacy
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree from an accredited institution with a minimum GPA of 3.0 is required, along with relevant background in computer science, IT, or analytics; prerequisites in programming or statistics may be needed.
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.

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Career Opportunities in AI

Lead as AI Engineer 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: $103,000
Total compensation (entry to mid-level)
AI Job Growth
32.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Cybersecurity Analyst 2. Security Data Analyst 3. Incident Response Specialist 4. Threat Intelligence Analyst
Top AI Employers (Industry-Wide):
Top employers include government agencies like NSA and FBI, tech firms such as Cisco and IBM, and financial institutions with cybersecurity needs.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 26,010
Format
On-Campus, Online
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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