This unit introduces you to the world of data analytics in business. Business analytics uses software tools to produce strategic analyses of huge volumes of data stored in databases and data warehouses to support improved decision making. Business analytics is used in industry and government for basic reporting and descriptive analyses. Advanced predictive and prescriptive analytics also allow powerful insights to be generated. Some areas of application include improved understanding of customer behaviour, gauging sentiment on social media, analysis and prediction of factors influencing profitability and portfolio optimisation. This unit will provide you with foundation knowledge to contribute to the use of data analytics in business.
|Student Contribution Band||SCA Band 4|
|Fraction of Full-Time Student Load||0.125|
|Pre-requisites or Co-requisites||
Students enrolling in this unit must be undertaking the CL84 Master of Business Administration (International) or the CM45 Professional Certificate in Business (Data Science).
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|
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).
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.
|1. Online Quiz(zes)||25%|
|2. Project (applied)||35%|
|3. Project (applied)||40%|
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%).
Consult the University’s Grades and Results Policy for more details of interim results and final grades
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 .
Term 1 - 2022 : The overall satisfaction for students in the last offering of this course was 33.33% (`Agree` and `Strongly Agree` responses), based on a 75.00% response rate.
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.
On successful completion of this unit, you will be able to:
|Assessment Tasks||Learning Outcomes|
|1 - Online Quiz(zes)||•||•|
|2 - Project (applied)||•||•||•|
|3 - Project (applied)||•||•||•|
|Graduate Attributes||Learning Outcomes|
|1 - Knowledge||•||•||•|
|2 - Communication||•||•||•|
|3 - Cognitive, technical and creative skills||•||•|
|5 - Self-management||•||•|
|Assessment Tasks||Graduate Attributes|