

This course aims to identify, assess and evaluate risk to enable the execution of the enterprise risk management strategy; develop and implement risk responses to ensure that risk factors and events are addressed in a cost-effective manner and in line with business objectives; monitor risk and communicate information to the relevant stakeholders to ensure the continued effectiveness of the enterprise’s risk management strategy; design and implement information systems controls in alignment with the organization’s risk appetite and tolerance levels to support business objectives; monitor and maintain information systems controls to ensure they function effectively and efficiently; and achieve professional qualification as Certified in Risk and Information Systems Control (CRISC).

This course provides a comprehensive understanding to the world of big data and analytics. Big data is now a reality, the volume, variety, and velocity of data coming into the enterprise continues at an unprecedented level. Data analytics is the process of examining data to uncover hidden patterns, unknown correlations and other useful information that can be used to make better decisions. In this course, students will learn how to connect and visualize complex data by utilizing techniques such as aggregators, time series, dashboard customization, storytelling, metadata grids, dual axis charts, etc. Basic statistical methods will be used such as regression, central tendency, and dispersion.

This course examines the fundamental concepts that comprise the information system (IS) functions in business and society, with emphasis on systems analysis & design. Together, we will study, discuss, analyze, and perform various exercises that bring into focus the myriad issues related to this most important field of study that affects virtually all aspects of business and society.