Enrolments for 2019 have closed.
Business Intelligence
Undergraduate | USA-ACG22 | 2019
Course information for 2019 intake
View information for 2020 course intakeMonitor the business information system's role in analysing corporate performance.
Evaluate established data mining methods. Operate business intelligence software and attack real world problems. Consider privacy, ethical and legal implications.
- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
HECS-HELP and FEE-HELP available
Business Intelligence
About this subject
At the completion of this subject students will be able to:
- Explain the nature and role of business information systems, of business intelligence and data mining in contributing to the delivery of business value and competitive advantage in modern organisations.
- Differentiate the concepts of business information management, business analytics, business performance management and measurement.
- Compare and evaluate key data mining methods, be able to discuss the pros and cons of data mining methods.
- Choose appropriate business intelligence and data mining tools and techniques to implement a business strategy.
- Use business intelligence and data mining software tools to solve real world problems and interpret results.
- Course Overview
- Introduction to Business Intelligence
- Business Intelligence and Performance Management
- Business Intelligence Lifecycle
- Business Analytics and Data Mining
- Data Mining Techniques
- Web Mining
- Data Visualisation
- Information Management
- Data Warehousing for Business Intelligence
- Privacy, Ethics and Legal Considerations
The degree will explore how business information systems and business intelligence are used to provide business professionals with the ability to conduct analysis of business operations and performance for enhanced decision making. Students will be introduced to current concepts, processes and technologies in business intelligence and business analytics, and will be equipped to use selected analytics, to interpret solutions to business related problems, and to provide relevant business advice.
- 1000 words (20%)
- Invigilated Exam - 1.5 hours (50%)
- 2000 words (30%)
For textbook details check your university's handbook, website or learning management system (LMS).
The University of South Australia (UniSA) is ranked as one of the best young universities in the world, and is the number one university in Australia for graduate employability. UniSA offers over 200 world-class degrees that are informed by industry and delivered with a highly practical approach to teaching and learning, and is a valuable partner with Open Universities Australia.
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- 21
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- 21
Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
- GRF-AFE135-Business Data Analysis
- SWI-STA10003-Foundations of Statistics
GRF-AFE134 (Not currently available)
Others
ACG22 has replaced ACG20 in this stream. They are not considered academically equivalent but share significant content. Do not enrol in ACG22 if you have completed ACG20.
Additional requirements
No additional requirements
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.
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