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DevOps Engineer 2
NSU B.S. in Computer Science Graduate
Nova Southeastern University's (NSU) Master of Science (M.S.) in Data Analytics and Artificial Intelligence prepares you for high-demand careers that turn data into actionable insights and business value. Develop expertise in data analytics, artificial intelligence, machine learning, predictive modeling, and data visualization—skills organizations increasingly rely on to make smarter decisions and drive innovation.
According to the U.S. Bureau of Labor Statistics, data scientists earn a median annual salary of $112,590, and employment is projected to grow 34% from 2024 to 2034—much faster than the average for all occupations. The growing adoption of AI, advanced analytics, and data-driven decision-making continues to increase demand for professionals who can extract meaningful insights from complex data.
Organizations across healthcare, finance, technology, education, government, and entertainment are investing in analytics and AI to improve performance, identify opportunities, and solve complex challenges. Graduates of NSU's program are prepared for roles such as:
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Analyst
- Analytics Consultant
- AI Specialist
Whether supporting business strategy, improving customer experiences, optimizing operations, or developing intelligent solutions, you'll be prepared to help organizations turn data into a competitive advantage.
Position yourself at the forefront of one of today's fastest-growing fields and help shape how organizations use data and AI to solve real-world problems.
Quick Facts
Curriculum
Start Dates
Delivery Options
Tuition
Visit the Tuition and Fees page for details.
Why Earn Your M.S. in Data Analytics and 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.
Learning Outcomes
A graduate with an M.S. in Data Analytics and Artificial Intelligence will have the ability to:
- Communicate data analytics and artificial intelligence concepts, designs, and solutions effectively and professionally
- Apply knowledge of data analytics and artificial intelligence to produce effective designs and solutions for specific problems
- Identify, analyze, and synthesize scholarly literature relating to the field of data analytics and artificial intelligence
- Evaluate data analytics and artificial intelligence techniques for management planning and decision making
Data Analytics and Artificial Intelligence Curriculum Program Sheet (PDF)
Core Courses (21 credits)
Credits
(MSIT 501
Foundations of Programming, Data Structures, and Algorithms
/Credits: 3)
(MSIT 630
Database Systems
/Credits: 3)
(MMIS 642
Data Warehousing
/Credits: 3)
(MMIS 643
Data Mining
/Credits: 3)
(MMIS 671
Data Analytics and Artificial Intelligence
/Credits: 3)
(CISC 672
Data Visualization
/Credits: 3)
(MMIS 692
Data Analytics and Artificial intelligence Project
/Credits: 3)
Choose Three Courses (9 credits)
Credits
(ISEC 615
Fundamentals of Cybersecurity
/Credits: 3)
(MMIS 621
Information Systems Project Management
/Credits: 3)
(MMIS 623
Ethics in Computing
/Credits: 3)
(MMIS 644
UX Strategy
/Credits: 3)
(CISC 685
Interaction Design
/Credits: 3)
(MSIT 675
Deep Learning
/Credits: 3)
Catalina Bolaños Sippli
IT Consultant
NSU M.S. in Management Information Systems Graduate
Rita Barrios
Adjunct Professor, Cybersecurity & Information Systems
NSU Ph.D. in Cybersecurity Management Graduate
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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.