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Big Data Management

Undergraduate | SWI-INF20016 | 2018

Course information for 2018 intake

View information for 2019 course intake

See how massive amounts of data are harvested from multiple sources in various formats. Understand how big data management powers agile business and innovation. Uncover the legal, ethical and security risks of the big data lifecycle.

Study method
100% online
Assessments
100% online
Entry requirements
Prior study needed
Duration
-

HECS-HELP and FEE-HELP available

Big Data Management

About this subject

  • Students who successfully complete this subject will be able to:

    1. Demonstrate an understanding of the complexity pertaining data, big data and data lifecycle, which may include data quality, data governance, acquisition & procurement, legal, ethical, risk and security issue
    2. Analyse and evaluate appropriate data management solutions for specific business needs and requirements
    3. Demonstrate an understanding of big data management as an enabler of business agility and innovation
    4. Demonstrate critical thinking, problem solving, and ability to communicate effectively as a professional and function as an effective leader or member of a diverse team.

Entry requirements

Prior study

You must have successfully completed the following subject(s) before starting this subject:

one of

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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