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Catalina Bolaños Sippli
IT Consultant
NSU M.S. in Management Information Systems Graduate
Nova Southeastern University’s (NSU) Master of Science (M.S.) in Artificial Intelligence prepares you for high-demand, high-paying careers in today’s rapidly expanding digital economy. Build in-demand expertise in machine learning, intelligent systems, data science, and AI-driven decision-making—skills employers actively seek across industries.
According to the U.S. Bureau of Labor Statistics, data scientists earn a median salary of $112,590, with job growth projected at 34%—much faster than average. Advanced roles such as computer and information research scientists, which often require a master’s degree, earn a median salary of $140,910.
Organizations across healthcare, finance, and cybersecurity are investing heavily in AI and automation, increasing demand for professionals who can design and deploy intelligent systems. Graduates of NSU’s AI program are prepared for roles such as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- AI Cybersecurity Specialist
- Research Scientist
Through a career-focused, industry-relevant curriculum, you’ll develop the technical depth and ethical perspective needed to design, deploy, and secure AI systems in real-world environments. Choose from specialized concentrations in Cybersecurity or Data Science to align your degree with your career goals.
Build the expertise to advance your career and grow into leadership roles in one of the fastest-growing fields in technology.
Quick Facts
Curriculum
- Artificial Intelligence & Machine Learning Focus
- 30 Credits (10 Courses)
- Complete in as Little as One Year
Start Dates
- 3 Intakes Per Year
- August (Fall), January (Winter), May (Summer)
Delivery Format
- 100% Online or On-Campus
- Fort Lauderdale/Davie Campus
Tuition
- $29,670 Estimated Total Tuition
- $989 Per Credit Hour
- Graduate Tuition Rate Applies to All Students
Admissions
- Bachelor's Degree Required
- STEM or Technical Field Preferred
- No GRE/GMAT Required
STEM Designation
- STEM-Designated Master’s Degree
- AI, Machine Learning, and Data-Driven Applications
Choose From Two I.T. Concentrations
Cybersecurity
Students develop depth in core concepts that build a foundation for artificial intelligence theory and practice and its application to cybersecurity defense.
Data Science
Develop an in-depth understanding of data analysis in courses that focus on data storage,
data mining, data analytics, and data visualization.
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 (18 credits)
Credits
(
CISC 615
Design and Analysis of Algorithms
/Credits: 3)
(
CISC 680
Software Engineering
/Credits: 3)
(
CISC 670
Artificial Intelligence
/Credits: 3)
(
MMIS 643
Data Mining
/Credits: 3)
(
MMIS 671
Data Analytics and AI
/Credits: 3)
(
MSIT 675
Deep Learning
/Credits: 3)
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
(MSIT 630
Database Systems
/Credits: 3)
(CISC 672
Data Visualization
/Credits: 3)
(CISC 681
Computer Graphics
/Credits: 3)
(
CISC 685
Interaction Design
/Credits: 3)
(
MMIS 642
Data Warehousing
/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
Frequently Asked Questions
The M.S. in Artificial Intelligence is ideal for students and professionals who want to develop advanced expertise in artificial intelligence, machine learning, intelligent systems, and data-driven decision-making. The program is well suited for those seeking to advance into specialized AI roles, expand their technical capabilities, or apply AI technologies to solve complex business and technology challenges.
NSU's M.S. in Artificial Intelligence combines hands-on learning in machine learning, intelligent systems, and AI applications with the flexibility to pursue a concentration in Cybersecurity or Data Science. This blend of advanced technical training and focused specialization allows students to align their studies with emerging industry needs and career goals.
The program offers two concentrations: Cybersecurity and Data Science. The Cybersecurity concentration explores the application of artificial intelligence to cybersecurity and cyber defense challenges, while the Data Science concentration focuses on data management, analytics, mining, and visualization.
The M.S. in Artificial Intelligence is a broad AI degree that allows students to concentrate in Cybersecurity or Data Science. The M.S. in Artificial Intelligence Cybersecurity is a specialized program focused specifically on applying artificial intelligence to cybersecurity challenges and securing AI systems.
The M.S. in Artificial Intelligence is designed for students with undergraduate backgrounds in computer science, information technology, engineering, mathematics, or physics. A strong foundation in data structures and algorithms, computer architecture, programming in a modern high-level language, and discrete mathematics is recommended for success in the program.
A master's degree in artificial intelligence can prepare graduates for a variety of AI-focused and data-driven roles, including machine learning engineer, data scientist, artificial intelligence specialist, business intelligence developer, natural language processing (NLP) specialist, computer vision engineer, and AI product manager. Graduates may apply their skills across industries including technology, healthcare, finance, cybersecurity, and government.
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The College of Computing, AI, and Cybersecurity 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: (800) 541-6682 or Toll-Free: 800-986-2247 x22031
Email: computing@nova.edu
Hours of Operation
Monday – Friday
8:30 a.m. – 5:00 p.m.