Overview
Big data is a popular term used to describe the exponential growth and availability of structured and unstructured data and business intelligence involves collecting, processing, analysing, and visualising data to help organisations make informed business decisions. In this unit, you will learn concepts of business intelligence, the alignment of big data with business intelligence, and how big data technologies can be leveraged to build organisational business intelligence. You will also explore contemporary tools in business intelligence and gain an understanding of data ethics, ensuring that data-driven solutions are developed and implemented responsibly and transparently. You will learn how to use big data for decision-making and impacting change in organisations. To understand these, you will be introduced to big data analytical tools and technologies to help solve authentic business problems and make effective business decisions. This unit provides a comprehensive foundation in big data and business intelligence with a strong business focus, equipping you with the skills needed for a successful career in data analytics along with expertise in big data strategy, architecture, and data ethics.
Details
Pre-requisites or Co-requisites
Prerequisites: COIT20250 Technologies in Information Systems Practice, and COIT20245 Introduction to Programming, and COIT20247 Database Design and Development. Anti-Requisites: COIT20236 Business Intelligence Management
Important note: Students enrolled in a subsequent unit who failed their pre-requisite unit, should drop the subsequent unit before the census date or within 10 working days of Fail grade notification. Students who do not drop the unit in this timeframe cannot later drop the unit without academic and financial liability. See details in the Assessment Policy and Procedure (Higher Education Coursework).
Offerings For Term 2 - 2026
Attendance Requirements
All on-campus students are expected to attend scheduled classes - in some units, these classes are identified as a mandatory (pass/fail) component and attendance is compulsory. International students, on a student visa, must maintain a full time study load and meet both attendance and academic progress requirements in each study period (satisfactory attendance for International students is defined as maintaining at least an 80% attendance record).
All University policies are available on the CQUniversity Policy site.
You may wish to view these policies:
- Grades and Results Policy
- Assessment Policy and Procedure (Higher Education Coursework)
- Review of Grade Procedure
- Student Academic Integrity Policy and Procedure
- Monitoring Academic Progress (MAP) Policy and Procedure - Domestic Students
- Monitoring Academic Progress (MAP) Policy and Procedure - International Students
- Student Refund and Credit Balance Policy and Procedure
- Student Feedback - Compliments and Complaints Policy and Procedure
- Information and Communications Technology Acceptable Use Policy and Procedure
This list is not an exhaustive list of all University policies. The full list of University policies are available on the CQUniversity Policy site.
Feedback, Recommendations and Responses
Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.
Feedback from Student Unit and Teaching Evaluation
Most students rated the unit as Exceptional.
To continue with the good practices.
Feedback from Feedback from tutors
Students who came from non-computing backgrounds faced a steeper learning curve when working through the programming exercises in the weekly tutorials.
Provide additional scaffolding for students from non-computing backgrounds by offering optional preparatory materials (e.g., short Python primers, guided video tutorials, or pre-class exercises).