Customer Analytics, M.S.

The Master of Science in Customer Analytics trains and develops future problem-solving leaders. As the size of the digital universe continues to double every 2 year, and is expected to continue to do so, the need for Practitioners, Data Scientists, Solutions Leaders, and Analysts will continue to grow. Through the utilization of real-world data sets, students gain the skills, confidence and expertise required to succeed in today’s information sensitive environment. Students are sought who are analytically curious. Graduates will harness and communicate the full value of large data sets prevalent in today’s “big data” business environment. Graduates will review data sets, identify potential problems, and will have awareness of and can identify the correct analytic techniques. They will then effectively communicate results to others with the goal of improving management decision making.

Prerequisites

MKTG 550: Marketing Strategy
STAT 500: Business Statistics
TUTORIAL: Excel Tutorial - Pearson Higher Education
TUTORIAL: R-Programming or SAS Programming 1 - completion by 1st semester
TUTORIAL: Statistics 1 © SAS Institute Inc - completion by Week #12, 2nd semester
TUTORIAL: Qlik® or Tableau® Data Visualization Workshop - completion by end of 1st year

Required Courses

30 credit hours are required

MKTG 602 - Marketing Research
MKTG 605 - Analytics Practicum
MKTG 640 - Consumer-centric Category Management
MKTG 664 - Consumer Behavior Theory
BAIS 605 - Applied Multivariate Analysis
BAIS 660 - Statistical Programming
BAIS 665 - Business Analytics for Managers
BAIS 674 - Database Management
BAIS 680 - Intro to Data Mining for Managers
BAIS 689 - Data Visualization

Notes

30 Credit Hours in the CORE are required for the degree. Select classes may be substituted if another Graduate Business Degree is present (i.e., MBA may substitute another Marketing elective for MKTG 550-Marketing Strategy, etc.)