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MGMT11169 - Business Analytics

General Information

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.


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 3 - 2023

Term 3 - 2023 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).

Assessment Overview

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

This information will not be available until 8 weeks before term.
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%).

Consult the University’s Grades and Results Policy for more details of interim results and final grades

Past Exams

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Previous Feedback

Term 1 - 2022 : The overall satisfaction for students in the last offering of this course was 58.33% (`Agree` and `Strongly Agree` responses), based on a 11.65% 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: Have your say
In some of the modules, the algebra and mathematical equations were very advanced and can be difficult to comprehend for first year students. Perhaps these more 'difficult' topics could be spaced, instead of condensed in one lecture.
The weekly module will be reviewed and updated to introduce some fundamental level of algebra and mathematical equations so that students are able to understand each topic well.
Action Taken
The updates have been made to the supplementary exercises in weekly module to support student learning.
Source: Have your say
The pre-recorded lectures were always well structured, and comprehensible. 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 pre-recorded lectures will be maintained and continuously updated if necessary to meet students' expectations.
Action Taken
All pre-recorded videos will be periodically reviewed, and if necessary, additional prerecorded videos will be added.
Source: Unit Evaluation
Using an Excel spreadsheet for complex data analytics with key mathematical principles might be difficult for students who have never worked with this software before.
The weekly lesson plans will include more Excel spreadsheet exercises to help students learn how to use Excel for complex data analysis.
Action Taken
Source: Unit Evaluation
Due to the lack of interactive engagement among other online students, Some students would want to see more discussion and engagement in the modules through group conversations.
Online students will have more challenging and interesting questions to think about in the weekly forum.
Action Taken
Unit learning Outcomes
This information will not be available until 8 weeks before term.
To see Learning Outcomes from an earlier availability, please search via a previous term.