Online
The Curriculum
Students must complete 28 required credit hours and eight elective credit hours to earn the Data Analytics degree while maintaining a minimum GPA of 3.0 on a scale of 4.0 as listed below.
Required Courses (28 hours)
Introduction to Database Systems | ||
Introduction to Statistical Computation | ||
Advanced Statistical Methods | ||
Introduction to Machine Learning | ||
Data Mining | ||
Big Data Analytics | ||
Data Analytics Capstone 1 |
Electives (choose two courses)
Operations Research Methods | ||
or MAT 444
|
Operations Research Methods | |
Advanced Topics in Data Analytics (Deep Learning) | ||
NoSQL Databases | ||
Data Visualization | ||
Advanced Database Concepts |
1 |
The capstone project will draw upon the knowledge and skills learned throughout the entire curriculum and will ask students to apply the appropriate methods and tools for data analysis in a real-world organizational setting. The capstone course provides the opportunity to exercise different techniques for data storage, preprocessing, integration and analysis covered throughout the M.S. in Data Analytics curriculum in order to address business challenges. The students must provide a well-written report and an oral presentation to effectively communicate their findings. |