DevOps Engineer 2
NSU B.S. in Computer Science Graduate
Drive Your Career with Big Data
Today’s data-driven world needs you. According to a study by the McKinsey Global Institute, Big Data’s growing role in the economy has created high demand for data analysts and statisticians. Successful businesses understand that analytics is the key to driving critical decisions and making bigger wins, that’s why businesses view data scientists and analysts as a competitive advantage.
With your degree in Data Analytics and Artificial Intelligence, you can grow your career in a vast number of industries, including health care, technology, finance, education, government, and entertainment. You’ll build skills to mine, analyze, and learn from large amounts of data that can help unlock new solutions and transform lives.
The M.S. in Data Analytics and Artificial Intelligence is designed for working adults who are comfortable with numbers and performing calculations. You’ll gain an in-depth understanding of data analysis in courses that focus on data warehousing, data mining, data analytics, and data visualization. Plus, NSU’s program prepares you with a background for more diverse technical data analyst roles in the areas of marketing, social media, business operations, and production.
You’ll learn through immersive case studies and hands-on work. Upon graduation, you’ll have used the skills and tools you learn in this program to develop applications and solutions for real world problems and businesses. The tools and skills you’ll master can be immediately applied on the job. NSU’s program also gives you opportunities to expand your network with students, faculty, and professionals from all over the world.
Did you know? Data Scientists were ranked #3 on Glassdoor’s list of “50 Best Jobs in America for 2020.” The list is based on three factors: salary, number of job openings, and job satisfaction.
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.
Quick Facts
Curriculum
NSU’s M.S.in Data Analytics and Artificial Intelligence program is 30 total credits 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 Data Analytics and 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 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 Core Courses (21 credits)
Credits
MSIT 501
Fundamentals of Programming, Data Structures, and Algorithms (MSIT 501 / Credits: 3 )
3
MSIT 630
Database Systems (MSIT 630 / Credits: 3 )
3
MMIS 642
Data Warehousing (MMIS 642 / Credits: 3 )
3
MMIS 643
Data Mining (MMIS 643 / Credits: 3 )
3
MMIS 671
Data Analytics and Artificial Intelligence (MMIS 671 / Credits: 3 )
3
CISC 672
Data Visualization (CISC 672 / Credits: 3 )
3
MMIS 692
Data Analytics and Artificial intelligence Project (MMIS 692 / Credits: 3 )
3
Choose Three Courses (9 credits)
Credits
ISEC 615
Fundamentals of Cybersecurity (ISEC 615 / Credits: 3 )
3
MMIS 621
Information Systems Project Management (MMIS 621 / Credits: 3 )
3
MMIS 623
Ethics in Computing (MMIS 623 / Credits: 3 )
3
MMIS 644
UX Strategy for Social Media (MMIS 644 / Credits: 3 )
3
CISC 685
Interaction Design (CISC 685 / Credits: 3 )
3
MSIT 675
Deep Learning (MSIT 675 / Credits: 3 )
3
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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.