MSBA 305 Business Intelligence and Decision Support
Provides a comprehensive and in-depth coverage of design and implementation of Business Intelligence systems in a business enterprise context. Covers data integration (including ETL process), Data Warehousing (including OLAP and Big Data) and Business Intelligence (Data mining, data visualization). A focus of this class will be to recognize business problems and needs that can be addressed with BI methods, and the tools and processes necessary to implement BI systems from requirements definition and business justification to technical implementation. BI is also discussed in the context of Business Process Management (BPM) and process improvement methodologies, such as Six Sigma. Hands-on exercises will strengthen student’s ability to utilize contemporary BI tools such as Dashboards, SAS VA and Enterprise Miner, Google fusion tables, and model based scenarios. Assignments are designed to combine graduate level research with experience-building transition from theory into tacit knowledge. Prerequisite(s): MSBA 300 .
View the Spring 2020 course schedules: