In this course, students will be introduced to the fundamental concepts of "Big Data" management and data science analytics, learning to recognize the challenges faced in dealing with massive volumes of available data as well as in proposing scalable solutions for them. This course is highly interactive, using case studies that span multiple vertical industries to process and analyze data related to common business issues.
Level I Prereq: Academic Reading and Writing Levels of 6; BMG 265, BMG 275, and CIS 282, minimum grade "C"
| Description | Hours |
|---|---|
| Credits | 4 |
| Lecture Hours | 60 |
| Clinical Hours | 0 |
| Lab Hours | 0 |
| Other Hours | 0 |
| Total Hours | 60 |