This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.

The goal of this course is to teach leaders what they need to know in order to build high-performance operations with world-class processes of innovation and continuous improvement. We cover the most current methodologies and tools, together with the most important soft skills required, to create efficient and responsive operations that deliver the highest quality services and products.

Overview of human resource management theory and practice in organizations. Legal framework; job design; recruitment, selection, performance appraisal, and separation; compensation; benefits; contemporary issues in HRM.

This course covers topics in Advanced Business Analytics, including managerial data mining, text mining, and decision trees, and more advanced data retrieval and manipulation. Models from statistics AI (e.g., regression, clustering, neural nets, classification, association rule modeling, etc.) will be applied to real data sets. In this managerially focused course, students will learn about when and how to use techniques and how to interpret output. Students will also learn how to extract and manipulate data using various software and programming languages.

The risk management concept and the associated insurance-related financing tools. Emphasis on the corporate risk handling function from a financial perspective. The insurance industry, pertinent trends, and the products offered.

Techniques of multivariate statistical an-alysis as applied to business research. Discriminant analysis, canonical correlation, multivariate analysis of variance and covariance, factor analysis, cluster analysis.

Not available at this time