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Admission Snapshot
Typical admitted student: A bachelor's degree in a related field such as computer science, IT, or cybersecurity with a minimum GPA of 2.75-3.0 is required, along with prerequisite knowledge in programming (e.g., Python), networking fundamentals, and data analytics or statistics. Bridge courses may be available for non-technical backgrounds.
About This Program
This advanced program focuses on data-driven strategies to evaluate and predict cybersecurity threats through a combination of analytical and technical skills.
Career Outcomes
Excel as Cybersecurity Analyst in Cybersecurity AI with machine learning expertise
- 1. Cybersecurity Analyst
- 2. Threat Intelligence Analyst
- 3. Security Operations Specialist
- 4. Cyber Risk Analyst
What You'll Learn
- Analyze cyber threats using data analytics and intelligence tools.
- Apply machine learning to detect and predict security incidents.
- Assess and manage cyber risks with compliance frameworks.
- Visualize and communicate security data to stakeholders.
Curriculum Highlights
The curriculum includes courses in data-driven strategy, database design, natural language processing, data mining, and ethical data visualization for cybersecurity.
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 with a minimum GPA of 2.75-3.0 is required, along with prerequisite knowledge in programming (e.g., Python), networking fundamentals, and data analytics or statistics. Bridge courses may be available for non-technical backgrounds.
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+)
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