Curriculum

Presentation of the nature, techniques and uses of accounting from the perspective of people who manage businesses and investments in businesses. Covers both financial and management accounting.

Individual, interpersonal, and small group behavior in complex organizations. Focus on behavior, its causes, and management interventions to improve organizational effectiveness. Research methods to study organizational behavior.

Review techniques for structuring and managing data in organizations. Discusses data concepts, data modeling, database requirements definition, conceptual, logical, and physical design, and admin.

Review of quantitative methods and techniques required for business analysis and decision making. Includes decision models, mathematical programming, statistics and forecasting.

Examination of defining characteristics of projects and introduces a variety of relevant techniques. Includes project manager functions like managing scope, time, quality, and cost.

Data Warehousing and Online Analytical Processing tools will be utilized to organize and analyze large volumes of data in order to explain the past, monitor the present, and anticipate the future.

In-depth examination of asset, liability and capital structure management, with emphasis on valuation capital budgeting techniques; risk evaluation; working capital management; and methods of short-term, intermediate and long-term financing.

Comprehensive treatment of analysis of financial statements as aid for decision making; looks at current state of financial reporting practices and impact of published statements on economic systems.

The course covers fundamentals concepts, principles, and techniques that can be used to improve business performance through the analysis, modeling and design of the as-is and the to-be business processes.

Introduction to reporting and data visualization principles and techniques to support business decision- making and information reporting needs utilizing operational, accounting and financial data.

Analysis and application of theory and problem solving for marketing management in the global environment. Emphasis will be on the role of marketing in the organization; planning the marketing effort; management of the marketing organization; control of marketing operations; and evaluation of the marketing contribution.

Emerging methods and technologies in business analytics for:

1. decision making,
2. process automation,
3. data monetization,
4. organizational transformation and
5. societal impact.

This course covers business analytics skills required to conduct both pattern discovery (e.g., segmentation and association) and predictive modeling (e.g., decision trees and neural network mining).

A high-level overview of data management, strategy, and governance approaches to understand, collect, visualize, and manage data and integrate disparate data from different business.

Artificial intelligence methods to analyze and extract useful information from unstructured data to provide real-time knowledge to incorporate artificial intelligence into the business strategy.