Successful organizations utilize a systematic approach to solve real-world business problems through the use of computing resources. Students who complete this course will be able to design and model business processes. They will learn how to conduct requirements analysis, approach the design or redesign of business processes, model system functions, effectively communicate systems designs to various levels of management, work in a project-based environment, and approach the implementation of a new organizational information system.

This course explores the role of enterprise resource planning (ERP) systems in organizations. Students analyze cross-functional business processes and ERP systems commonly used to support these processes. Students engage in a hands-on project using a current ERP system, such as SAP R/3, to demonstrate, analyze and design system structures, key data elements and process configurations that support cross-functional business processes, including accounting, sales, material management, production and distribution.

This course serves as an introduction to data analysis including both descriptive and inferential statistical techniques. Contemporary data analytics and business intelligence tools will be explored through realistic problem assignments.

This course discusses issues associated with data capture, organization, storage, extraction, and modeling for planned and ad hoc reporting. Enables student to model data by developing conceptual and semantic data models. Techniques taught for managing the design and development of large database systems including logical data models, concurrent processing, data distributions, database administration, data warehousing, data cleansing, and data mining.