197
Oklahoma State University
BAN 5743 Predictive Business Analytics Prerequisites: BAN 5733 or consent by instructor.
Description: Learn how to use predictive analytic tools such as logistic regression, neural networks, decision trees and other classification and prediction models to generate deeper business insights and to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5963 or MKTG 5743 and BAN 5743 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 BAN 5753 Advanced Business Analytics Prerequisites: BAN 5743 or consent by instructor. Description: Learn how to use advanced modeling techniques such as Self Organizing Maps (SOM) and Kohonen Networks, two-stage models, survival models, credit scoring models, time series forecasting models, advanced text analytics etc. to improve business decision making. This course will primarily use SAS® Analytics platform to analyze data. Students may not take both MKTG 5883 and BAN 5753 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 BAN 5763 Advanced Marketing Research Analytics Prerequisites: BAN 5753 or consent by instructor. Description: Learn how to properly use various multivariate data analysis techniques including multiple regression, MANOVA, Discriminant analysis, Clustering, MDS and Conjoint Analysis. Students may not take both MKTG 6413 and BAN 5763 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 BAN 5900 Advanced Practicum in Business Analytics Prerequisites: Consent of director of MS in Business Analytics and satisfactory completion of nine hours of BAN 5000- or MKTG 5000-level courses. Description: Professionally supervised experience in advanced business analytics projects for which the student assumes a degree of professional responsibility. Activities approved in advance by the instructor and must reflect advanced graduate level analysis. May consist of full or part-time advanced 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: 1-6 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Marketing
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