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Unit of study_
QBUS6600: Data Analytics for Business Capstone
2027 unit information
This unit serves as the capstone unit for the Data Analytics for Business specialisation. The unit's teaching and learning framework consists of problem-based teaching with practical application, challenging students to apply their data analytics skills to real-world business problems. The unit allows students to link theory to practice by integrating knowledge and key consolidating skills, that students have developed throughout the specialisation. Work-integrated learning and career-readiness outcomes are a focus of this unit where students utilize data analytics techniques and skills, together with business knowledge, assisting in business decision making via professional practice.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Postgraduate |
|---|---|
| Academic unit | Business Analytics |
| Credit points | 6 |
|
Prerequisites:
?
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Completion of 18 credit points of units towards the Data Analytics for Business specialisation (including QBUS5001 and BUSS6002) |
|---|---|
|
Corequisites:
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Completion of 6 credit points towards the Data Analytics for Business specialisation |
| Prohibitions:
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|
None |
| Assumed knowledge:
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|
None |
At the completion of this unit, you should be able to:
- LO1. Analyse and explain the role of data analytics and insights in business decision making
- LO2. Operationally and efficiently cast a business problem into data analytics problems using a Business Data Analytics process
- LO3. Apply data analytics skills to business decision making across different organisational areas
- LO4. Demonstrate proficiency in the use of Data Analytics software such as Python and R for implementing a Data Analytic project
- LO5. Work productively, collaboratively and collegially in a team
- LO6. Communicate the Data Analytics findings efficiently
- LO7. Discuss cultural and ethical dimensions in the data analytics context
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 1 2026
|
Normal day | Camperdown/Darlington, Sydney | |
|
Semester 2 2026
|
Normal day | Camperdown/Darlington, Sydney |
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
|
Semester 1 2027
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
|
Semester 2 2027
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
|
Find your current year census dates
Modes of attendance (MoA)
This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.
Important enrolment information
Additional advice
This unit is the capstone for the Data Analytics for Business specialisation. Students should undertake this Unit of Study in their final semester of study.
Disclaimer
Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.
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