554
Marketing (MKTG)
MKTG 5500 Current Topics in Marketing Analytics Prerequisites: Admission in any graduate program in business school or consent of instructor. Description: Current topics in marketing analytics such as web analytics, marketing optimization analytics, high-performance analytics, visual analytics, marketing campaign analytics. Offered for variable credit, 1-6 credit hours, maximum of 9 credit hours. Credit hours: 1-6 Contact hours: Other: 1 Levels: Graduate Schedule types: Independent Study Department/School: Marketing MKTG 5543 Social Media Strategies Description: This class will focus on ways to build brand awareness and customer loyalty on a low budget. Topics covered will be social media, blogging, events, email marketing, analytics and more. May not be used for degree credit with MKTG 4543. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Marketing MKTG 5553 International Marketing Strategy Prerequisites: MKTG 5133. Description: An analysis of marketing in the global environment. Environmental effects on international marketing management and corporate strategy decisions.. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Marketing MKTG 5613 Seminar in Consumer Behavior Prerequisites: MKTG 5133 or consent of instructor. Description: Psychological, sociological, and anthropological theories related to consumer decision processes. Special emphasis on current empirical research in consumer behavior. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Marketing MKTG 5633 The External Environment of Business Prerequisites: Admission to a SSB graduate program or consent of MBA director. Description: Social, ethical, regulatory and political forces as they impact on the organization. Attention to organizational response to these forces through management policies and strategies. Previously offered as BADM 5613. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Marketing
MKTG 5733 Introduction to Marketing Analytics Prerequisites: Admission in MBA program or consent of instructor. Description: Analytic tools including exploratory and graphical techniques, variable associations and correlations, regression, ANOVA and other related modeling techniques to improve managerial decision making. No degree credit for students with credit in BAN 5733 and MKTG 5983. Credit hours: 3 Contact hours: Lecture: 2 Lab: 2 Levels: Graduate Schedule types: Lab, Lecture, Combined lecture and lab Department/School: Marketing MKTG 5743 Advanced Marketing Analytics Prerequisites: MKTG 5733 or consent of instructor. Description: Advanced analytic tools such as neural networks, decision trees, classification and prediction models to generate deeper customer insights and to improve managerial decision making. No degree credit for students with credit in BAN 5743 and MKTG 5963. Credit hours: 3 Contact hours: Lecture: 2 Lab: 2 Levels: Graduate Schedule types: Lab, Lecture, Combined lecture and lab Department/School: Marketing MKTG 5883 Advanced Data Mining Applications Prerequisites: MKTG 5963 or permission from instructor. Description: Use advanced data mining tools such as clustering, Self Organizing maps (SOM) and Kohonen Networks, two-stage models, customer attrition and churn models via survival analysis, credit scoring models, etc. In the context of common applications in business management. No degree credit for students with credit in BAN 5753. Credit hours: 3 Contact hours: Lecture: 3 Levels: Graduate Schedule types: Lecture Department/School: Marketing MKTG 5963 Data Mining and Customer Relationship Management Applications Prerequisites: MKTG 5983 or consent of MBA, MIS/MSIS, MSTM director or assistant director or instructor. Description: Data mining and turning business data into actionable information. Use of various data mining tools such as neural networks, decision trees, classification and prediction algorithms, in the context of most common applications in business-sales, marketing, and customer relationship management (CRM). Use of state-of-the-art industrial strength data mining software to analyze real-world data and make strategic recommendations for managerial actions. No degree credit for students with credit in BAN 5743 and MKTG 5743. 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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