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Business Analytics (BAN)
Business Analytics (BAN) BAN 5100 Professional Development in Business Analytics Prerequisites: Admission to the MS in Business Analytics program or consent of director of MS in Business Analytics. Description: Career and professional development of MS in Business Analytics students. A blend of guest speakers, projects, and exercises used to better prepare students for advanced business analytics careers. Credit hours: 1-6 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Marketing BAN 5400 Practicum in Business Analytics Prerequisites: Consent of director of MS in Business Analytics and satisfactory completion of six hours of BAN 5000- or MKTG 5000-level courses. Description: Professionally supervised experience in business analytics projects for which the student assumes a degree of professional responsibilitiy. Activities approved in advance by the instructor and must reflect graduate level analysis. May consist of full or part-time business analytics experience, on-campus or in industry, or both, either individually or as a responsible group member. Periodic reports, both oral and written, required as specified by the instructor. Credit hours: 1-3 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Marketing BAN 5511 Web Analytics and Digital Marketing Prerequisites: Admission in MS in Business Analytics or consent of director of MS in Business Analytics or consent by instructor. Description: Learn how to use web analytics tools and techniques to improve digital marketing. Credit hours: 1 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Marketing BAN 5521 GIS Applications in Marketing Analytics Prerequisites: Admission in MS in Business Analytics or consent of director of MS in Business Analytics or consent by instructor. Description: Learn how to use geographical information systems (GIS) as a methodological tool and analyze spatial data to make better marketing decisions. Credit hours: 1 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Marketing
BAN 5530 Consulting in Marketing Analytics Prerequisites: Admission in MS in Business Analytics or consent of director of MS in Business Analytics or consent by instructor. Description: Learn how analytics consultants must communicate with clients to establish relationships, build trust, propose solutions, handle objections and otherwise effectively manage the relationship aspect of the engagement. Credit hours: 1-3 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Marketing BAN 5541 Using R in Marketing Analytics Prerequisites: Admission in MS in Business Analytics or consent of director of MS in Business Analytics or consent by instructor. Description: Learn how to use the R computing environment (and language) for analytics applications. The focus of the course will be on the usage of R and various R packages for analytics applications and not the theory or discussion behind various analytics techniques. Credit hours: 1 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Marketing BAN 5551 Optimization Applications in Marketing Analytics Prerequisites: Admission in MS in Business Analytics or consent of director of MS in Business Analytics or consent by instructor. Description: This course provides an introduction to practical applications of mathematical programming/operations research using SAS/OR. May not be used for degree credit with MKTG 5983 and MKTG 5733. Credit hours: 1 Contact hours: Lecture: 1 Levels: Graduate Schedule types: Lecture Department/School: Marketing BAN 5733 Descriptive Business Analytics Prerequisites: Consent of director of MS in Business Analytics or by instructor. Description: Learn how to describe and analyze business data using visualization and statistical tools. Topic coverage will include different types of graphs and plots, cross-tabs, variable associations, regression, ANOVA and other related models. An overview of basic probability concepts and statistical sampling techniques will also be provided. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5733 or MKTG 5983 and BAN 5733 for
degree credit. Credit hours: 3 Contact hours: Lecture: 2 Lab: 2 Levels: Graduate Schedule types: Lab, Lecture, Combined lecture and lab Department/School: Marketing
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