Overview
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
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).
Offerings For Term 1 - 2024
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.
Class Timetable
Assessment Overview
Assessment Grading
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 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 Unit Evaluation
More time needs to be spent explaining key concepts and mathematical expressions.
Some instructional materials will be reviewed to simplify some mathematical expressions and make it easier for all students to grasp the fundamental concepts.
Feedback from Unit Evaluation
Use additional examples or explanations for the mathematics and key concepts.
Additional examples will be added to the instructional materials to help students comprehend the key concepts.
- 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.
Alignment of Assessment Tasks to Learning Outcomes
| Assessment Tasks | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Online Quiz(zes) - 30% | |||
| 2 - Report - 40% | |||
| 3 - Online Test - 30% | |||
Alignment of Graduate Attributes to Learning Outcomes
| Graduate Attributes | Learning Outcomes | ||
|---|---|---|---|
| 1 | 2 | 3 | |
| 1 - Communication | |||
| 2 - Problem Solving | |||
| 3 - Critical Thinking | |||
| 4 - Information Literacy | |||
| 5 - Team Work | |||
| 6 - Information Technology Competence | |||
| 7 - Cross Cultural Competence | |||
| 8 - Ethical practice | |||
| 9 - Social Innovation | |||
| 10 - First Nations Knowledges | |||
| 11 - Aboriginal and Torres Strait Islander Cultures | |||
Textbooks
Business Analytics
- 4th edition (2020)
- Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann
- Cengage Learning
- Boston Boston , MA , US
- ISBN: 9780357131787
- Binding: Paperback
IT Resources
- CQUniversity Student Email
- Internet
- Unit Website (Moodle)
- Excel spreadsheet software
All submissions for this unit must use the referencing style: American Psychological Association 7th Edition (APA 7th edition)
For further information, see the Assessment Tasks.
s.kuik@cqu.edu.au
Week 1
Begin Date: 04 Mar 2024Module/Topic
Introduction to Business Analytics
Chapter
Chapter 1 Business analysis and decision making; and Lecture notes and material are available in Moodle
Events and Submissions/Topic
Details of Moodle site and resources available.
Expectations of student engagement with the unit.
Overview of the Assessment Items.
Week 2
Begin Date: 11 Mar 2024Module/Topic
Descriptive Statistics
Chapter
Chapter 2 Data types and statistics; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Week 3
Begin Date: 18 Mar 2024Module/Topic
Data Visualisation
Chapter
Chapter 3 Charts and data visualisation; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Assessment 1 Online Quiz (Task A).
The link will open in Week 3 Monday at 9:00 AM (AEST).
Week 4
Begin Date: 25 Mar 2024Module/Topic
Probability and Modeling Uncertainty
Chapter
Chapter 4 Probability and modelling uncertainty and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Week 5
Begin Date: 01 Apr 2024Module/Topic
Statistical Inference
Chapter
Chapter 6 Point estimation and hypothesis testing; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Assessment 1 Online Quiz: Task A
Due: Week 5, Friday 11:45PM (AEST)
Vacation Week
Begin Date: 08 Apr 2024Module/Topic
No classes will be held during this week.
Chapter
No classes will be held during this week.
Events and Submissions/Topic
Week 6
Begin Date: 15 Apr 2024Module/Topic
Regression Analysis
Chapter
Chapter 7 Regression modelling and relationships; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Week 7
Begin Date: 22 Apr 2024Module/Topic
Decision Analytics
Chapter
Events and Submissions/Topic
Week 8
Begin Date: 29 Apr 2024Module/Topic
Optimisation Concept
Chapter
Chapter 10 Building optimisation models; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Week 9
Begin Date: 06 May 2024Module/Topic
Spreadsheet Models
Chapter
Chapter 10 and 12 Excel spreadsheet models and designs; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Assessment 1 Online Quiz (Task B).
The link will open in Week 9, Monday at 9:00 AM (AEST).
Business Analytics Report Due:
Week 9 Friday at 11:45PM (AEST)
Week 10
Begin Date: 13 May 2024Module/Topic
Optimisaton and Sensitivity Analysis
Chapter
Chapter 12 Sensitivity analysis and relationships; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Week 11
Begin Date: 20 May 2024Module/Topic
Forecasting and Time Series
Chapter
Chapter 8 Time series patterns and forecasting accuracy; and Lecture notes and material are available in Moodle.
Events and Submissions/Topic
Assessment 1 Online Quiz: Task B
Due: Week 11, Friday 11:45 PM (AEST)
Week 12
Begin Date: 27 May 2024Module/Topic
Data Analytics and Revision
Chapter
Events and Submissions/Topic
Review/Exam Week
Begin Date: 03 Jun 2024Module/Topic
Chapter
Events and Submissions/Topic
Exam Week
Begin Date: 10 Jun 2024Module/Topic
Chapter
Events and Submissions/Topic
1 Online Quiz(zes)
Assessment 1 comprises two main tasks:
Task A: Online Quiz (Weighted score: 10%) - The quiz includes 20 questions and has a time limit of 30 minutes. It is designed for students to understand key concepts and apply techniques and/or tools to analytically examine and/or propose solutions to business problems from the selected topics in this unit. The quiz will be opened from 9:00 am (AEST) in Week 3, Monday. Please Note: Only one (1) attempt at the quiz will be made. Once you clicked on the quiz link, you must attempt the quiz within 30 minutes. There will be no opportunity to save your answers and return to the quiz at a later time.
Task B: Online Quiz (Weighted score: 20%) - The quiz includes 22 questions and has a time limit of 60 minutes. It is designed for students to understand key concepts and apply techniques and/or tools to analytically examine and/or propose solutions to business problems from the selected topics in this unit. The quiz will be opened from 9:00 am (AEST) in Week 9, Monday. Please Note: Only one (1) attempt at the quiz will be made. Once you clicked on the quiz link then you must attempt the quiz within 60 minutes. There will be no opportunity to save your answers and return to the quiz at a later time.
Other
The assessments will be due in Weeks 5 (Task A) and 11 (Task B) at 11:45 pm (AEST) (Friday).
The results will be available on the unit Moodle site after the quiz due time.
No Assessment Criteria
- Analyse and reflect on key concepts of business analytics
2 Report
The assessment is designed for students to apply fundamental data analytics tools and/or techniques. The assessment involves writing a 1600-words data analytics report responding to assessment questions related to specific cases and the numerical data files that store information specific to the application will be provided on the unit website. All students need to submit a short data analytics report including excel spreadsheet and/or any relevant calculations, with a cover sheet showing the unit name and number, assessment number, your name and student number.
Week 7 Friday (26 Apr 2024) 11:45 pm AEST
Further information will be provided on Moodle in Week 5.
Week 9 Friday (10 May 2024)
Grades and feedback comments are released on the unit Moodle page.
Your report analysis, recommendations and presentation will be assessed according to the following criteria.
- Demonstrated understanding of data analytics with techniques and/or tools that are related to the questions posed: 25%
- Accurately suggest and develop the model for detailed analysis in relation to the questions posed: 25%
- Able to articulate and evaluate case studies to provide managerial insights and practical limitations based on quantitative outcomes: 20%
- Provide appropriate and well-structured, concise and clear expression of decision-making arguments: 10%
- Provide a clear flow of thought throughout the business report, evidenced by succinct Executive Summary, Introduction, and Conclusion: 10%
- Adherence to APA Reference format: 5%
- Clarity of written expression, grammar, spelling: 5%
Report length 1600-words. (penalty of 1% per 100-words that exceed the maximum 1680-words). However, the summary, table of contents, reference list and appendices are excluded from a report’s word count.
Submissions must be in Business Report format using Word with 1.5 line spacing and Times Roman 12-point font.
Late submissions will also be penalised at the rate of "five percent of the total marks available for the assessment each calendar day (full or part) it is overdue" (Policy: Assessment of Coursework section 3.2.4)
- 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.
3 Online Test
The online test is in the form of an online quiz in Moodle. This assessment is designed for students to understand key concepts and apply techniques and/or tools to analytically examine and propose solutions to business problems from the selected topics in this unit. You are required to answer all questions in the online test (there are no multiple-choice questions in the online test).
Week 12 Friday (31 May 2024) 11:45 pm AEST
The online test will be held in Week 12. Further information will be provided on Moodle in Week 10.
Assessment feedback and grades are to be released upon certification of grades (refer to assessment policy).
Your submission (online test) will be assessed according to the following criteria.
- Demonstrated understanding of the analytical model that is related to the questions posed.
- Accurately suggest and develop the model for detailed analysis in relation to the applications.
- Able to articulate and evaluate scenario modelling to provide managerial insights and practical limitations based on quantitative outcomes.
- Clarity of written expression, grammar, and spelling.
- 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.
As a CQUniversity student you are expected to act honestly in all aspects of your academic work.
Any assessable work undertaken or submitted for review or assessment must be your own work. Assessable work is any type of work you do to meet the assessment requirements in the unit, including draft work submitted for review and feedback and final work to be assessed.
When you use the ideas, words or data of others in your assessment, you must thoroughly and clearly acknowledge the source of this information by using the correct referencing style for your unit. Using others’ work without proper acknowledgement may be considered a form of intellectual dishonesty.
Participating honestly, respectfully, responsibly, and fairly in your university study ensures the CQUniversity qualification you earn will be valued as a true indication of your individual academic achievement and will continue to receive the respect and recognition it deserves.
As a student, you are responsible for reading and following CQUniversity’s policies, including the Student Academic Integrity Policy and Procedure. This policy sets out CQUniversity’s expectations of you to act with integrity, examples of academic integrity breaches to avoid, the processes used to address alleged breaches of academic integrity, and potential penalties.
What is a breach of academic integrity?
A breach of academic integrity includes but is not limited to plagiarism, self-plagiarism, collusion, cheating, contract cheating, and academic misconduct. The Student Academic Integrity Policy and Procedure defines what these terms mean and gives examples.
Why is academic integrity important?
A breach of academic integrity may result in one or more penalties, including suspension or even expulsion from the University. It can also have negative implications for student visas and future enrolment at CQUniversity or elsewhere. Students who engage in contract cheating also risk being blackmailed by contract cheating services.
Where can I get assistance?
For academic advice and guidance, the Academic Learning Centre (ALC) can support you in becoming confident in completing assessments with integrity and of high standard.
What can you do to act with integrity?
