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Unit Synopsis
ICT professionals use a range of tools and technologies to process, transform, model, and analyse data to support organisational decision-making and solve business problems. In this unit, you will acquire practical knowledge of key data analytics processes, including data exploration, transformation, visualisation, dashboard development, predictive modelling, and AI-driven analytics. You will also gain hands-on experience with tools such as Power BI and low-code machine learning to prepare, analyse, and visualise data, and to generate actionable business insights through real-world case studies. The unit also examines the ethical, legal, privacy, and cybersecurity considerations associated with the use of data-driven technologies in organisations.
Details
| Level | Postgraduate |
|---|---|
| Unit Level | 9 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 2 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
Prerequisite: COIT20248 Information Systems Analysis and Design. 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). |
| Class Timetable | View Unit Timetable |
| Residential School | No Residential School |
Unit Availabilities from Term 2 - 2027
Term 2 - 2027 Profile
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).
Recommended Student Time Commitment
Each 6-credit Postgraduate unit at CQUniversity requires an overall time commitment of an average of 12.5 hours of study per week, making a total of 150 hours for the unit.
Assessment Tasks
To see assessment details from an earlier availability, please search via a previous term.
This is a graded unit: your overall grade will be calculated from the marks or grades for each assessment task, based on the relative weightings shown in the table above. You must obtain an overall mark for the unit of at least 50%, or an overall grade of ‘pass’ in order to pass the unit. If any ‘pass/fail’ tasks are shown in the table above they must also be completed successfully (‘pass’ grade). You must also meet any minimum mark requirements specified for a particular assessment task, as detailed in the ‘assessment task’ section (note that in some instances, the minimum mark for a task may be greater than 50%).
Past Exams
All University policies are available on the Policy web site, however you may wish to directly view the following policies below.
This list is not an exhaustive list of all University policies. The full list of policies are available on the Policy web 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.
Source: Unit Coordinator Reflection
Introduce practicals on GenAI, cloud fundamental and low-code app development to incorporate emerging trends in information systems practices.
Include lecture and tutorial materials to address these topics in the next offering.
Practicals on Generative AI and low-code app development were incorporated into tutorials, along with a subtopic covering cloud fundamentals.
Source: Teaching team feedback
Tutorials require additional refinement to expose students to further practical Power BI applied learning.
Update tutorials with additional Power BI real-world business use cases and resources.
In Progress
To see Learning Outcomes from an earlier availability, please search via a previous term.