The study of statistical theory and quantitative analysis for use in business decision- making: topics include the measurement of numerical data, frequency distribution probability, sampling distributions, confidence intervals, hypothesis testing, ANOVA, correlation, simple and multiple regression models, time series analysis, linear programming, decision analysis, and selective topics in quantitative business analysis.

Marketing philosophy and concepts, marketing plans, marketing strategy for business growth. Market opportunity analysis, evaluation of market attractiveness. Determination of marketing programs and effective marketing control.

Concepts and issues of utilizing accounting information for effective business management decision making. Product costing and its role in strategic decision making. Cost-volume-profit analysis. Planning and control, budgeting, responsibility accounting, balanced scorecard, performance measurement and evaluation. Roles of relevant information for making effective non-routine managerial decisions.

Concepts and issues of utilizing accounting information for effective business management. Analysis of the role of accounting in product costing, costing for quality, budgeting and profit planning, reporting, monitoring, performance evaluation and control of human behavior. Roles of relevant information for making effective non-routine managerial decisions.

The course is an introduction to concepts, techniques and tools for analysis of organization’s operational capabilities, which can be applied in both manufacturing and service organizations. The course provides a holistic view of the operations processes in order to improve productivity, quality and customer value.

A capstone course that integrates all functional areas of business administration with practical application to realistic business problems, strategic management processes from corporate and departmental levels, and strategic implementation including corporate design, control systems, and resource allocation. Prerequisites: AB.6100, AB.6200, AB.6300, AB.6400, AB.6500

Since big data promises to turn business data into actionable information, this course will cover a comprehensive analysis of various data mining tools and techniques in the context of most common business application such as sales, marketing, and customer relationship management. These data mining techniques include data manipulation, data exploration, pattern recognition, Neural Networks, Decision Trees, Cluster analysis, Sequence analysis, Association Models, Two-stage modeling, and predictive modeling etc. The focus of this course is hands-on learning of how to use non-statistical (algorithm-based) techniques to solve business problems.

Special and contemporary topics in business determined and announced by the School before the begging of each semester. Prerequisite: At the instructor’s discretion

This course focuses on management disciplines that can help local companies to become global enterprise. specifically, this course provides the basis and advance concepts on leading change, innovation, and leadership. The purpose is to develop young business leaders to be knowledgeable about sustainable growth that emphasize a contemporary approach using competitiveness as a basis.

Special and contemporary topics in business determined and announced by the School before the begging of each semester. Prerequisite: At the instructor’s discretion