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Business Analytics and Artificial Intelligence

Undergraduate | SWI-INF30036 | 2024

Previously SWI-INF30030

Learn how to use AI to unlock data for business success. You’ll build on your programming knowledge as you explore statistical computing and visualisation tools. Use machine learning to problem solve and develop business solutions. 

Study method
100% online
100% online
Entry requirements
Prior study needed
13 weeks

HECS-HELP and FEE-HELP available

Business Analytics and Artificial Intelligence

About this subject

  • After successfully completing this unit, you will be able to:

    1. Demonstrate an understanding of the roles of business analytics and artificial intelligence in various organisational contexts

    2. Synthesise and develop appropriate business solution scenarios using appropriate machine learning, analytics and visualisation techniques

    3. Analyse business problems and define the data requirements and business rules associated with the data-driven and machine learning problem-solving approaches

    4. Demonstrate critical thinking and problem solving through statistical and machine learning computing and visualization

    5. Communicate effectively as a professional and function as an effective leader or member of a team

Entry requirements


200 credit points
Assumed Knowledge - Basic understanding of computer programming

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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