Approved Computer Science Curriculum Committee: 03-06-2020

FOUNDATION COURSES (12 Credits)

Courses: Credits Semester Grade

CS 658 Introduction to Analytics Computing 3

CS 660 Mathematical Foundations of Analytics 3

CS 619* Data Mining 3

CS 632P Python Programming 3

* Students without sufficient programming background may substitute IS 665

CORE REQUIREMENTS (9 credits)

Required: Credits Semester Grade

IS 669 Big Data and Information Systems 3

IS 637 Project and Change Management 3

CS 666 Enterprise Intelligence Development 3

ELECTIVES (6 Credits) Students may select elective courses from the list on the next page or any other relevant courses. In addition, students should work with their academic advisor to select individual courses from the current academic

schedule to take as electives, provided the prerequisites have been met.

Electives : Credits Semester Grade

3

3

CAPSTONE COURSE (3 credits)

Required: Credits Semester Grade

CS 668 Analytics Capstone Project 3

Total Credits 30

Academic Advisor/Date: ________________________

Email:

Phone:

Name:

ID:

MS in Enterprise Analytics(30 CREDITS)

REVISED ENTERPRISE ANALYTICS CURRICULUM – 2020

Approved Computer Science Curriculum Committee: 03-06-2020

Enterprise Analytics Elective Courses (6 credits)

MAR 635 Marketing Research 3 credits

MAR 643 Interactive and Direct Marketing 3 credits

MAR 646 Social Media and Mobile Marketing Strategies 3 credits

MAR 649 Digital Marketing 3 credits

MAR 660 New Product and Service Planning and Development 3 credits

MAR 664 Marketing Analytics 3 credits

MAR 673 Customer Intelligence 3 credits

MBA 640 Accounting for Decision Making 4 credits

MBA 642 Marketing Management 3 credits

MBA 646 Business Analytics for Decision Making 3 credits