FIN373 - Data Analytics for Decision Making (NEW from SP3 2025)

Data Analytics for Decision Making (NEW)

This subject focuses on underpinning data analytic concepts and techniques required for business decision making. It explores the skills and knowledge required to manage organisational projects on an ongoing basis.

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Subject overview

STUDY MODE

100% online

AQF LEVEL

NEXT INTAKE

7 Apr 2025

SUBJECT DURATION

12 weeks

SUBJECT FEE

$2,700.00

This subject focuses on underpinning data analytic concepts and techniques required for business decision making. It explores the data analytics life cycle and utilises data analytics techniques to gain business insights. This subject enables students to make informed decisions evaluating results from various data analytics techniques.

This subject contributes to the Business Intelligence specialisation.

For more information, please refer to the subject outline.

Master of Applied Finance >

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Subject information

Learning Outcomes

On successful completion of this subject, students should be able to:

Examine the principles of data analytics, key terminologies and its significance in finance
Explore the data analytics life cycle and discuss ethical concerns
Apply data analytics techniques to solve business problems
Create and evaluate data-rich reporting in the context of business decision-making and recommendations

Topics covered

Introduction to data analytics
Fundamental concepts of data analytics
Data analytics life cycle
Data analytics for business problem identification
Data analytics techniques
Text analytics and sentiment analysis
Data visualisation and storytelling
Data analytics and decision making

Reading list

There is no prescribed text for this subject.

Individuals are provided with key readings and access to Kaplan Professional’s online databases. Individuals are encouraged to research and read widely on the topic.

Assessments

Assessment Type	Assessed	Weighting
Task	Week 4	20%
Assignment	Week 8	40%
Oral assignment	Week 12	40%

Click here for an assessment timetable.

Previous study requirements

Assumed knowledge

Kaplan Professional assumes that individuals have completed FIN201 Quantitative Applications in Finance and FIN280 Financial Modelling or understand the content covered in these subjects, prior to undertaking FIN373 Data Analytics for Decision Making.

Course transition subject equivalence

Students may not be required to complete this subject if they have transitioned from a SIA/FINSIA/Kaplan Professional course and have completed the following subjects: