BMBA71-301: Data Analytics for Decision Making

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

Type:	Postgraduate Subject
Code:	BMBA71-301
EFTSL:	0.125
Faculty:	Bond Business School
Semesters offered:	May 2026 [Standard Offering]
Credit:	10
Study areas:	Business, Commerce, and Entrepreneurship
Subject fees:	Commencing in 2025: $5,680.00 Commencing in 2026: $5,800.00 Commencing in 2025: $6,500.00 Commencing in 2026: $6,800.00

Learning outcomes

Explain how data informs evidence-based decision making in organisational contexts.
Evaluate data sources, structures and systems used to generate and manage organisational data.
Analyse relationships within datasets using appropriate statistical techniques to support decision making.
Apply quantitative tools (e.g., Microsoft Excel) to analyse business data in structured problem scenarios.
Interpret analytical outputs to generate actionable insights for business decision making.

Enrolment requirements

Requisites:	Nil
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.
Restrictions:	This subject is not available to Study Abroad Students This subject is not available to students on US Financial Aid. Students on a Student Visa may be restricted from enrolment due to the mode of delivery in the chosen semester. Check the subject outline for further details. Must be admitted into an MBA Affiliated Program.

Requisites:

Nil

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.

Restrictions:

This subject is not available to

Study Abroad Students
This subject is not available to students on US Financial Aid.
Students on a Student Visa may be restricted from enrolment due to the mode of delivery in the chosen semester. Check the subject outline for further details.

Must be admitted into an MBA Affiliated Program.

Subject outlines

Subject dates

May 2026

Standard Offering
Enrolment opens:	22/03/2026
Semester start:	18/05/2026
Subject start:	18/05/2026
Last enrolment:	31/05/2026
Teaching census:	12/06/2026
Withdraw - Financial:	13/06/2026
Withdraw - Academic:	04/07/2026

Standard Offering
Enrolment opens:	22/03/2026
Semester start:	18/05/2026
Subject start:	18/05/2026
Last enrolment:	31/05/2026
Teaching census:	12/06/2026
Withdraw - Financial:	13/06/2026
Withdraw - Academic:	04/07/2026