MS in Computer Engineering – Security

Program Requirements:

  • Total 30 Credits in one year or two years
  • 5 Common Courses from AI and Cybersecurity
  • 3 Area of Interest/Concentration courses
  • 2 Math courses

Program of Study:

Program Level Learning Outcome

1 – Demonstrate an understanding of the Ethical and Legal issues associated with AI in cybersecurity.

2 – Explain various concepts, techniques, and implications regarding AI and Machine Learning which are fundamental to their application.

3 – Demonstrate technological literacy in implementing AI-Driven security solutions for the detection, prevention, and response to cyber threats.

4 – Implement cybersecurity anomalous behavior detection system to identify cyber-attacks within different contexts and environments.

5 – Analyze cybersecurity related large-scale datasets to detect system risks, threats, and vulnerabilities using best practices in AI.

6 – Understand the security of AI systems given the various attack scenarios that can compromise their integrity and performance while protecting against adversarial attacks.

7 – Develop AI systems that address cybersecurity associated with specific requirements in different cybersecurity infrastructures through custom cybersecurity applications.

Master of Science | Curriculum | Total Credits: 30

The program offers areas of interests, which are selected as part of the program with the guidance of the program advisor.

Areas of Interest: (1) Cybersecurity and (2) Artificial Intelligence

The Master of Science in Computer Engineering – Security Online program requires 30 semester hours beyond the bachelor’s degree. This is a lock-step program that consists of a specific sequence of courses, plus courses from the Area of Interest.

Master of Science in Computer Engineering – Security Online

Completion requirement

Computer Engineering Security Courses: 15 Credits

Complete ALL of the following Courses:

  • CIS  5208 – Social, Economics, & Policy Aspects of Cybersecurity
  • CNT 5xxx – Introduction to Applied AI
  • CNT 6154 – Advanced Machine Learning
  • CNT 5xxx – Advanced Data Engineering 
  • EEL 5807 – Advanced Ethical Hacking 

Math Requirement: 6 Credits

Earn 6 credits from the following:

  • EEL 6141 – Advanced Network Analysis
  • EEL5171 – Advanced Systems Theory

The Math Electives may be changed or expanded by the Graduate Advisory Committee.

Areas of Interest: 9 Credits

Students must complete 9 credits hours from one the following Area of Interest

Cybersecurity Area of Interest:

  • EEL6803 – Advanced Digital Forensics
  • EEL6805 – Advanced Malware Reverse Engineering
  • EEL6787 – Network Security

Artificial Intelligence Area of Interest:

  • CNT 6144 – Advanced Analytics/Cloud
  • CNT6150– Advanced Deep Learning in ECE
  • CNT 6xxx – Advanced Generative AI in ECE

Click here for ECE Catalog 

Any Questions Contact,

Alexander Perez-Pons, Ph.D.

aperezpo@fiu.edu