IFN655 Advanced Business Intelligence Concepts for Enterprise Systems

[object Object] {"attributes":{"DGNAP":"Available for Single Unit students (PG) - no approval required","DGCIA":"Available for cross institutional students - no approval required","SCPUNI":"Science & Math PG - Uni Wide Units","DGSAC":"Study Abroad / Exchange (PG) - faculty approval required"},"study-types":["Cross-institutional study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 2","date-end":"2025-11-14T14:00Z","date-start":"2025-07-20T14:00Z","year":2025}],"broad-study-area":{"name":"Science","foe":20399},"code":"IFN655","credit-points":12,"fees":[{"year":2025}],"faculty":{"code":460100,"title-short":"Science","title-full":"Faculty of Science"},"school-discipline":{"code":460800,"title-short":"Information Systems","title-full":"School of Information Systems"},"unit-requisites":{"pre":"(\nIFN581 or ((IFN555 or \nIFQ555) and (IFN556 or \nIFQ556)) and (\nIFN585 or ((IFN552 or \nIFQ552) and (IFN558 \nIFQ558))"},"sams-version":1,"summer":[],"synopsis":"This unit elevates the Business Intelligence (BI) expertise for enterprise systems by focusing on sophisticated use of data science and machine learning in enterprise settings. BI represents a process fuelled by technology, focusing on the analysis of data and the delivery of actionable insights, crucial for the planning and decision-making activities carried out by executives, managers, and staff. This unit involves AI-driven analytics, data science, machine learning techniques and tools, and advanced IoT analytics, thereby preparing students for high-level managerial decision-making. To support this, you will learn advanced predictive modelling, real-time analytics, and complex data visualization. The unit also covers data Ops, security, and governance. The unit provides a rich exposure to real-world BI platforms, integrating advanced BI skills from data analysis to strategic decision support, ensuring graduates are adept in both technology and its business applications.","title-full":"IFN655 Advanced Business Intelligence Concepts for Enterprise Systems","title-short":"Advanced Business Intelligence Concepts for Enterprise Systems","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=IFN655&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=IFN655","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=IFN655"},"year":2025,"years":[2025]}