Back to Nova Southeastern University
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
- Data Analytics, AI, and Predictive Insights
- 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
- Quantitative, STEM, or Technical Background Preferred
- No GRE/GMAT Required
STEM Designation
- STEM-Designated Master's Degree
- Data Analytics, Machine Learning, and Predictive Modeling
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
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
Frequently Asked Questions
The M.S. in Data Analytics and Artificial Intelligence is ideal for students and professionals who want to transform data into actionable insights and business value. The program is well suited for individuals interested in data analytics, artificial intelligence, machine learning, predictive modeling, and data-driven decision-making across a variety of industries.
NSU's M.S. in Data Analytics and Artificial Intelligence combines advanced training in data analytics, artificial intelligence, machine learning, predictive modeling, and data visualization within a STEM-designated curriculum. Students learn how to extract meaningful insights from complex data and apply AI-driven approaches to support decision-making, innovation, and organizational performance.
The M.S. in Data Analytics and Artificial Intelligence is designed for students with undergraduate backgrounds in computer science, business, information systems, information technology, engineering, mathematics, or physics. A strong interest in data analytics, quantitative problem solving, and emerging technologies is recommended for success in the program.
Yes. The program culminates in MMIS 692: Data Analytics and Artificial Intelligence Project, giving students an opportunity to apply the knowledge and skills gained throughout the curriculum to a real-world challenge. Students who choose the thesis option may replace the capstone course with two thesis courses, subject to program office approval.
A master's degree in data analytics and artificial intelligence can prepare graduates for careers that leverage data, analytics, and AI to solve complex business and technology challenges. Career opportunities may include data scientist, data analyst, business intelligence analyst, machine learning analyst, analytics consultant, and AI specialist. Graduates may work across industries including healthcare, finance, technology, education, government, and entertainment.
You May Also Like
Information Technology
Get an in-depth understanding of database systems, platform and network technologies,
software development, and security technologies, along with courses in your selected
concentration.
Information Systems
Master areas such as project management, decision support systems, computer languages,
client-server and distributed computing, database systems and data warehousing, telecommunications,
and more.
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.