AIMS 4755 Introduction to Big Data and Data Science
3 semester hours
This course introduces students to the fundamental concepts of analytic data, their sources, and how they are designed and implemented. With that foundation, this course will expose students to Big Data and related platforms and technologies. Students will gain insights into the challenges and techniques of analyzing unstructured data that is generated through various social media and other interactive platforms. After completing this course, students will be able to analyze the Big Data challenges and needs of an organization as well as recommend appropriate implementation strategies for the design, architecture, and infrastructure needed to capture, process, and turn this “Big Data” into valuable business information.
Prerequisites: ACCT 3140 or AIMS 2710 ; AIMS 3730 or CMSI 185 , all with a grade of C (2.0) or higher; or consent of instructor and approval of Associate Dean.