Type: | Postgraduate Subject |
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Code: | BMBA71-301 |
EFTSL: | 0.125 |
Faculty: | Bond Business School |
Semesters offered: |
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Credit: | 10 |
Study areas: |
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Subject fees: |
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Description
This subject develops the student’s facility for evidence-based decision making, by introducing students to the use and application of data. As the business world has increasing access to data, and in the availability of big data sets which allow greater understanding of customers and other business related data, effective use of the data will enable decisions to become more informed. This subject will consider the role of data in an evolving business system, discuss and review common sources of data and processes for developing superior data sets, and will introduce the quantitative methods that are needed for understanding what the data tells us re the decision we need to make. It develops an understanding of modern computational methods to solve quantitative problems in business decision making, using a case-based approach to using data.
Subject details
Learning outcomes
- Understand the role of data in evidence based decision making
- Examine the systems by which data is or can be made available
- Possess an understanding of measurement issues and processes for understanding relationships based on statistical theory
- Apply modern quantitative tools (Microsoft Excel) to data analysis in a business context
- Analyse and interpret data to provide meaningful information to assist in decision making
Enrolment requirements
Requisites: |
Nil |
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Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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Restrictions: |
This subject is not available to
Must be admitted into an MBA Affiliated Program. |
Subject outlines
- May 2024 [Online - Data Analytics for Decision Making]
- May 2023 [Online - Data Analytics for Decision Making]
- May 2022 [Online - Data Analytics for Decision Making]
- May 2021 [Online - Data Analytics for Decision Making]
- September 2020 [Intensive - Data Analytics for Decision Making]
- May 2020 [Standard - Data Analytics for Decision Making]
Subject dates
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May 2024
Standard Offering Enrolment opens: 17/03/2024 Semester start: 13/05/2024 Subject start: 13/05/2024 Cancellation 1: 27/05/2024 Cancellation 2: 03/06/2024 Last enrolment: 26/05/2024 Withdraw - Financial: 08/06/2024 Withdraw - Academic: 29/06/2024 Teaching census: 07/06/2024
Standard Offering | |
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Enrolment opens: | 17/03/2024 |
Semester start: | 13/05/2024 |
Subject start: | 13/05/2024 |
Cancellation 1: | 27/05/2024 |
Cancellation 2: | 03/06/2024 |
Last enrolment: | 26/05/2024 |
Withdraw - Financial: | 08/06/2024 |
Withdraw - Academic: | 29/06/2024 |
Teaching census: | 07/06/2024 |