The aim of this course is to provide a theoretical outline, analysis and discussion of the issues surrounding managing small businesses and growth. The class also focuses on applying a managerial perspective to recognize and incorporate current and applicable thought and practice. The course provides real business examples and the impact on our society.
This course focuses on the role of business analytics in facilitating implementation of business process changes and how to appropriately use analytic tools.
Upon successful completion of this course, students will be able to:
To gain an understanding of how managers use business analytics to formulate and solve business problems and to support managerial decision-making.
To become familiar with the processes needed to develop, report, and analyze business data.
To learn how to use and apply Excel and Excel add-ins to solve business problems.
To learn how to use data visualization tools such as Microsoft Power BI to gain insights for the business through Descriptive Analytics.
The Capstone Field Project provides students with the opportunity to complete their academic curriculum through the real life business application of best practices learned through courses taken in the program.
The main objective of the Capstone Field Project is to strengthen the students’ capacities to explore, conceptualize, analyze, explicate, interpret, and provide suggested solutions to companies and Organizations facing critical business challenges. In addition, the Capstone Field Project requires from students to write a detailed set of recommendations addressing the business challenges cited above where students demonstrate their knowledge and competencies gained through their course of study in specific areas such as: finance, accounting, marketing, strategic management, and operations. The organizations benefited from the Capstone Field Project are selected by the students with a final approval of the Graduate Academic Director.
This course familiarizes students with accounting and financial concepts and the application of financial techniques and analytical methods in the planning, controlling and coordinating functions of managers. Having appropriate, timely, and accurate financial information is the cornerstone of a great performance management system.
This course will introduce students to the world of corporate finance and number driven financial metrics, enabling them to not only build financial reports, but also be capable of conducting a thorough analysis about the financial condition of the firm by explaining how and why results were attained using an analytical and numerical lens of financial reporting. In addition, this course illustrates how a Balanced Scored Card is designed and maintained through analytics about how businesses and organizations create, deliver, and appropriate value.
This course aims to provide a survey of quantitative techniques commonly used to provide insight into business and management decisions. Particularly important, is the understanding of the assumptions and limitations of quantitative techniques and how these techniques can be used to facilitate practical decision-making. Consequently, emphasis would be placed on formulation, model building, and interpretation of results rather than theory.
The course is decision and action oriented, not technique and numbers driven hence the role of the computer and application software, and the use of case studies will be emphasized. Topics covered within the sessions include the following: Describing Data, Graphs and Tables, Summary Measures, Probability concepts and Applications, Decision Analysis, Time Series Analysis and Forecasting, Simulation Models and Game Theory applied to business.
Information systems have become the enabling technology for business. Businesses and organizations that are not exposed, aware, or do not use the latest applications, solutions, and IT infrastructure are compromising their current and future competitive position. This course balances theory with applications through case studies and projects that emphasize the effectiveness of organizational information systems in achieving the objectives for which the systems are designed.
Factors such as the organizational structure and information requirements are studied within the context of ethical, economic, and socio-technical factors that affect the design of systems and the processes of converting data to information, information to knowledge, and knowledge to intelligence.