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Catalina Bolaños Sippli
IT Consultant
NSU M.S. in Management Information Systems Graduate
Stand Out in the World of AI Cybersecurity
The Master of Science in Artificial Intelligence Cybersecurity at Nova Southeastern University offers a rich, distinctive, and innovative graduate educational experience. The program will provide the opportunity for students to learn to develop depth in all the core concepts that build a foundation for artificial intelligence (AI) theory and practice and its application to cybersecurity defense.
AI cybersecurity is poised to drive the next generation of global innovation. The need for skilled AI cybersecurity professionals is greater than ever, with 97 million new AI cybersecurity-related jobs expected globally over the coming years. Get your M.S. in Artificial Intelligence Cybersecurity at NSU and stand out in the world of AI cybersecurity.
Why Earn Your M.S. in Artificial Intelligence Cybersecurity at NSU?
Fast Track
Advance your future with new 8-week courses and complete your degree in 1 year.
STEM Designation
An integrated approach to learning in the areas of science, technology, engineering
and mathematics.
Quick Facts
Curriculum
Start Dates
Delivery Options
Tuition
Learning Outcomes
A graduate with an M.S. in Artificial Intelligence Cybersecurity will have the ability
to:
- Communicate professionally artificial intelligence and deep learning concepts applied to cybersecurity designs and solutions.
- Apply knowledge of artificial intelligence and computing to produce effective designs and solutions for specific cybersecurity problems.
- Demonstrate an understanding of the key concepts of the application of artificial intelligence to information security risk management, auditing, and network security.
- Demonstrate Knowledge, Skills, and Tasks (KSTs) to apply artificial intelligence to security control measures to mitigate cyber risks and attacks.
Artificial Intelligence Cybersecurity Curriculum
Prerequisite Courses*
Credits
(
MSIT 501
Foundations of Programming, Data Structures, and Algorithms
/Credits: 3)
(
CISC 501
Computer Organization and Architecture
/Credits: 3)
(CISC 502
Mathematics in Computing
/Credits: 3)
(CISC 503
Data Structures and Algorithms
/Credits: 3)
Core Courses (30 credits)
Credits
(
MMIS 623
Ethics in Computing
/Credits: 3)
(
CISC 650
Computer Networks
/Credits: 3)
(CISC 670
Artificial Intelligence
/Credits: 3)
(
MMIS 671
Data Analytics and AI
/Credits: 3)
(
MSIT 675
Deep Learning
/Credits: 3)
(
ISEC 615
Fundamentals of Cybersecurity
/Credits: )
(
ISEC 640
Database Security
/Credits: )
(
ISEC 660
Advanced Network Security
/Credits: )
(
ISEC 675
Information System Auditing
/Credits: )
(
ISEC 692
AI Cybersecurity Project
/Credits: )
*Applicants who do not have adequate academic backgrounds may be required to take one or more of the 500-level graduate prerequisite courses during the first two terms of the program.
Students who opt to do a thesis will replace ISEC 692 - AI Cybersecurity Project course with two thesis courses (prior approval required). Plans for the thesis option must be made with and approved by the program office.
Courses at the 500 level, when required, must be completed prior to taking courses at the 600 level. All 500-level courses must be completed with a grade of ‘B’ or higher to continue in the computer science degree program.
For a full list of all course descriptions, visit coursewizard.nova.edu.
Rita Barrios
Adjunct Professor, Cybersecurity & Information Systems
NSU Ph.D. in Cybersecurity Management GraduateWatch Her Story
Adjunct Professor, Cybersecurity & Information Systems
NSU Ph.D. in Cybersecurity Management GraduateWatch Her Story
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The College of Computing and Engineering graduate enrollment office is located on the fourth floor in the Carl DeSantis Building on NSU's Fort Lauderdale-Davie campus in Davie, Florida. Click here for a map.
Phone: (844) 847-5815 or Toll-Free: 800-986-2247 x22031
Email: computing@nova.edu
Hours of Operation
Monday – Friday
8:30 a.m. – 5:00 p.m.