| Short Description: | Business Intelligence |
| Units : | 1 |
| Faculty or Section : | Faculty of Business, Education, Law and Arts |
| School or Department : | School of Management and Enterprise |
| Student contribution band : | Band 2 |
| ASCED code : | 020307 - Decision Support Systems |
| Grading basis : | Graded |
Other requisites
Students are required to have access to a personal computer, e-mail capabilities and Internet access to UConnect. Current details of computer requirements can be found at .
Synopsis
This course provides students with a thorough understanding of theory, design, implementation and application of business intelligence systems in an organisational context of decision making that is evidence based for enhanced business performance. Students will develop a good understanding of data driven decision making, data warehouse and big data architecture and how to apply business intelligence tools to analyse and present information to support improved decision making in organisations. Students will be assessed on their understanding of key concepts concerning the design implementation and use of business intelligence systems and application of business intelligence through data mining and data visualisation tools to help solve real world business problems. The architecture, implementation, and practical use of business intelligence are considered in current and real life contexts.
Course offers
| Semester | Mode | Campus |
|---|---|---|
| Semester 1, 2020 | On-campus | Springfield |
| Semester 1, 2020 | On-campus | Toowoomba |
| Semester 1, 2020 | Online | |
| Semester 2, 2020 | Online |