Data and Business Decision Making
PostgraduateTAS-BEA6742025
Course information for 2025 intake View information for 2024 course intake
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Enrol by
- 16 Feb 2025
- Entry requirements
- Part of a degree
- Duration
- 14 weeks
- Price from
- $3,128
- Upfront cost
- $0
- Loan available
- FEE-HELP available
Data and Business Decision Making
About this subject
Upon completion of this subject, the student should be able to:
- Illustrate how key statistical concepts apply to business environments.
- Appraise and apply various statistical techniques to critically analyse a range of business problems.
- Organise and communicate statistical findings to provide relevant recommendations for business decision making.
- Module 1: Defining and collecting data
- Module 2: Organising and visualising variables
- Module 3: Numerical descriptive measures
- Module 4: Working with bi-variate data
- Module 5: Basic probabilities
- Module 6: Discrete probability distributions
- Module 7: The normal distribution and other continuous distribution
- Module 8: Sampling distribution, confidence interval estimation, continuous distribution
- Module 9: Hypothesis testing
- Module 10: Simple linear regression
- Module 11: Introduction to multiple linear regression
Managers need an understanding of statistics for five key reasons: to properly collect, present, describe and interpret information; to draw valid conclusions from incomplete data - typically about large populations based only on information obtained from samples; to obtain reliable forecasts; to improve business processes and; to provide a framework for dealing with risk and uncertainty. These five reasons form the basis of the structure and content of Data and Business Decision Making. The use of mathematics and arithmetical calculations are kept to a minimum for selected topics by using the Microsoft Excel spreadsheet package. The subject focuses on the interpretation and application of the various techniques studied.
- Online Test (30%)
- Final Exam (40%)
- Group Assignment (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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- 19
Entry requirements
To enrol in this subject, you must be admitted into a degree.
Others
It is essential that you have basic knowledge of mathematics at high school level, and basic working knowledge of MS Excel software. If you have any concerns with these skills please contact your lecturer early in the semester
Additional requirements
- Other requirements - Teaching Arrangement: Students will need to attend FOUR (4) three-hour workshops during the semester. Lectures are delivered via recordings. These will be updated weekly in MyLO. Lecture notes will be uploaded to MyLO in advance for students to prepare for the upcoming lectures. Please note that lecture notes may be incomplete, for example, spaces will be left as students are expected to draw important diagrams by yourselves and/or solutions for example questions. By filling in these spaces during the lectures, you will consolidate your understanding of the concepts we discuss.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.