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Catalina Bolaños Sippli
IT Consultant
NSU M.S. in Management Information Systems Graduate
Shape Tomorrow's AI Landscape
The M.S. in Artificial Intelligence 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 theory and practice.
In artificial intelligence, there has been a global workforce shortage and demand continues to outpace the supply of talent. The global artificial intelligence workforce needs to grow at least 75% to keep up with what is needed to support and defend organizations’ critical assets.
This M.S. in Artificial Intelligence program at NSU prepares responsible, well-rounded graduates capable of protecting and defending artificial intelligence systems and users. As a result of this curriculum, students will meet the high demand need for artificial intelligence professionals who have the technical and theoretical foundation to become professionals.
Get your M.S. in Artificial Intelligence at NSU and stand out in the world of AI.
Choose from two concentrations:
- Cybersecurity
- Data Science
Why Earn Your M.S. in Artificial Intelligence 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 will have the ability to:
- Communicate artificial intelligence concepts, designs, and solutions effectively and professionally
- Apply knowledge of artificial intelligence and computing to produce effective designs and solutions for specific problems
- Identify, analyze, and synthesize scholarly literature relating to the field of artificial intelligence and computing
- Implement artificial intelligence and computing solutions using software development tools, software systems, and modern computing platforms
Artificial Intelligence 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
(
CISC 615
Design and Analysis of Algorithms
/Credits: 3)
(
CISC 680
Software Engineering
/Credits: 3)
(
CISC 662
Data Mining and Knowledge Discovery in Databases
/Credits: 3)
(
CISC 670
Artificial Intelligence
/Credits: 3)
(
MMIS 671
Data Analytics and AI
/Credits: 3)
(
MSIT 675
Deep Learning
/Credits: )
Required Courses (12 credits – choose 4 courses)
Credits
(
ISEC 615
Fundamentals of Cybersecurity
/Credits: 3)
(
ISEC 620
Applied Cryptography
/Credits: 3)
(
ISEC 640
Database Security
/Credits: 3)
(
ISEC 650
Computer and Network Forensics
/Credits: 3)
(
ISEC 660
Advanced Network Security
/Credits: 3)
Required Courses (12 credits – choose 4 courses)
Credits
(CISC 660
Database Management Systems
/Credits: 3)
(CISC 664
Information Retrieval and Web Search Engine Technology
/Credits: 3)
(CISC 672
Data Visualization
/Credits: 3)
(CISC 681
Computer Graphics
/Credits: 3)
(
CISC 685
Interaction Design
/Credits: 3)
Required Courses (12 credits – choose any 4 courses from the Cybersecurity concentration, Data Science concentration or electives below)
Credits
(
CISC 610
Programming Languages
/Credits: 3)
(
CISC 640
Operating Systems
/Credits: 3)
(
CISC 650
Computer Networks
/Credits: 3)
(
CISC 665
Distributed Systems
/Credits: 3)
(
CISC 668
Mobile Application Development
/Credits: 3)
(
CISC 682
Software Requirements Engineering
/Credits: 3)
(
CISC 683
Object-Oriented Design
/Credits: 3)
(
CISC 684
Software Testing and Verification
/Credits: 3)
*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 two of the elective courses with these credits. 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 artificial intelligence 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.