DevOps Engineer 2
NSU B.S. in Computer Science Graduate
Shape Tomorrow's AI Landscape
The M.S. in Artificial Intelligence at NSU 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
NSU’s M.S. in Artificial Intelligence is 30 total credits (10 courses) to complete. 8 week courses are available, so you can earn your degree in 1 year.
Start Dates
All College of Computing and Engineering master's degree programs begin in August, January, and May.
Delivery Options
Classes for the M.S. in Artificial Intelligence program are offered online or at our Fort Lauderdale/Davie campus.
Tuition
Visit the Tuition and Fees page for more information.
Career Outcomes
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
Credits
MSIT 501
Foundations of Programming, Data Structures, and Algorithms (MSIT 501 / Credits: 3 )
3
CISC 501
Computer Organization and Architecture (CISC 501 / Credits: 3 )
3
CISC 502
Mathematics in Computing (CISC 502 / Credits: 3 )
3
CISC 503
Data Structures and Algorithms (CISC 503 / Credits: 3 )
3
Core Courses (18 credits)
Credits
CISC 615
Design and Analysis of Algorithms (CISC 615 / Credits: 3 )
3
CISC 680
Software Engineering (CISC 680 / Credits: 3 )
3
CISC 662
Data Mining and Knowledge Discovery in Databases (CISC 662 / Credits: 3 )
3
CISC 670
Artificial Intelligence (CISC 670 / Credits: 3 )
3
MMIS 671
Data Analytics and AI (MMIS 671 / Credits: 3 )
3
MSIT 675
Deep Learning (MSIT 675 / Credits: 3 )
3
Required Courses (12 credits – choose 4 courses)
Credits
ISEC 615
Fundamentals of Cybersecurity (ISEC 615 / Credits: 3 )
3
ISEC 620
Applied Cryptography (ISEC 620 / Credits: 3 )
3
ISEC 640
Database Security (ISEC 640 / Credits: 3 )
3
ISEC 650
Computer and Network Forensics (ISEC 650 / Credits: 3 )
3
ISEC 660
Advanced Network Security (ISEC 660 / Credits: 3 )
3
Required Courses (12 credits – choose 4 courses)
Credits
CISC 660
Database Management Systems (CISC 660 / Credits: 3 )
3
CISC 664
Information Retrieval and Web Search Engine Technology (CISC 664 / Credits: 3 )
3
CISC 672
Data Visualization (CISC 672 / Credits: 3 )
3
CISC 681
Computer Graphics (CISC 681 / Credits: 3 )
3
CISC 685
Interaction Design (CISC 685 / Credits: 3 )
3
Required Courses (12 credits – choose any 4 courses from the Cybersecurity concentration, Data Science concentration or electives below)
Credits
CISC 610
Programming Languages (CISC 610 / Credits: 3 )
3
CISC 640
Operating Systems (CISC 640 / Credits: 3 )
3
CISC 650
Computer Networks (CISC 650 / Credits: 3 )
3
CISC 665
Distributed Systems (CISC 665 / Credits: 3 )
3
CISC 668
Mobile Application Development (CISC 668 / Credits: 3 )
3
CISC 682
Software Requirements Engineering (CISC 682 / Credits: 3 )
3
CISC 683
Object-Oriented Design (CISC 683 / Credits: 3 )
3
CISC 684
Software Testing and Verification (CISC 684 / Credits: 3 )
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.
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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: (954) 262-2031 or Toll-Free: (800) 986-2247 ext. 22031
Email: computing@nova.edu
Hours of Operation
Monday – Friday
8:30 a.m. – 5:00 p.m.