Unit Synopsis
With today’s digitisation and technology development, many organisations can collect and consolidate tremendous amounts of data and store them in databases and data warehouses with ease. In business analytics, you will use a variety of computational techniques and/or methods to evaluate and analyse huge sources of data in real time for trends, patterns, classification, relationship, and other useful information. You will learn and examine data sets for statistical inference, and conduct quantitative analysis, predictive modelling, regression, data mining, and optimisation. This is a practical based core unit and will provide you with foundation knowledge to contribute to the use of various data analytics for problem solving.
Details
| Level | Undergraduate |
|---|---|
| Unit Level | 1 |
| Credit Points | 6 |
| Student Contribution Band | SCA Band 4 |
| Fraction of Full-Time Student Load | 0.125 |
| Pre-requisites or Co-requisites |
STAT11048 Essential Statistics is an anti-requisite for this unit MGMT11169 Business Analytics. Students who completed STAT11048 Essential Statistics should not enroll in this unit MGMT11169 Business Analytics. 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 1 - 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).
Recommended Student Time Commitment
Each 6-credit Undergraduate 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
| Assessment Task | Weighting |
|---|---|
| 1. Presentation | 40% |
| 2. Report | 60% |
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 .
Term 1 - 2025 : The overall satisfaction for students in the last offering of this course was 76.92% (`Agree` and `Strongly Agree` responses), based on a 17.88% response rate.
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: Student Unit and Teacher Evaluation (SUTE)
The vast quantity of online resources help students in complete weekly activities and assessments.
Continue to update online resource to include more case studies from different industry sectors.
The updates especially case studies have been made to the weekly module to support student learning.
Source: Student Unit and Teacher Evaluation (SUTE)
The real-world applications provided were helpful in deepening our understanding of the material.
Continue to update relevant and real-world applications.
The weekly modules now incorporate real‑world case studies, encouraging students to think critically and apply what they’ve learned.
Source: SUTE
The pre‑recorded lectures were consistently well organized and easy to understand. I learnt a lot of valuable lessons in Excel and data analytics. The assessments were also interesting and relevant, suitable for first year students
The learning resources will be maintained and continuously updated if necessary to meet students' expectations.
In Progress
Source: SUTE
Using an Excel spreadsheet for complex data analytics with some maths might be difficult for students who have never worked with this software before and need more Excel practical examples.
The weekly lesson plans will include additional Excel spreadsheet exercises to support students learn how to use Excel for complex data analysis.
In Progress
On successful completion of this unit, you will be able to:
- Analyse and reflect on key concepts of business analytics
- Apply quantitative tools and techniques to analytically identify, examine, investigate and propose solutions to business problems
- Synthesise data from a variety of sources and develop models to address practical problems in industry.
| Assessment Tasks | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Presentation | • | • | • |
| 2 - Report | • | • | • |
| Graduate Attributes | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Communication | • | • | • |
| 2 - Problem Solving | • | • | |
| 3 - Critical Thinking | • | • | • |
| 4 - Information Literacy | • | ||
| 6 - Information Technology Competence | • | • | • |
| 8 - Ethical practice | • | ||
| Assessment Tasks | Graduate Attributes | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 10 | |