Availabilities:

2023 unit offering information will be available in November 2022

Unit description

Provides students with the knowledge and skills to utilize contemporary data analytics tools. Students are introduced to big data technologies and learn to build data analytics solutions using data analytics tools and technologies to solve real-world problems and aid decision-making.    

Unit content

  • Module 1: Introduction of Business Intelligence and Decision Support Systems for marketing
  • Module 2: BI Reporting Interface
  • Module 3: Marketing Intelligence
  • Module 4: Data warehousing for BI
  • Module 5: Business Performance Management (BPM)
  • Module 6: Data Mining applications for Marketing

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:
1demonstrate knowledge and practical skills of methods, components, processes and architectures of Business Intelligence environment and incorporate it with marketing strategies
2understand the scope, power and limitations of the methods and tools of BI and adapt appropriate BI solutions to facilitate the decision-making processes
3apply systematic and analytical thinking on planning business intelligence roadmaps to derive insights and generate value within a variety of business contexts
4enhance interpersonal and communication skills with analytical thinking and data visualisation techniques.

On completion of this unit, students should be able to:

  1. demonstrate knowledge and practical skills of methods, components, processes and architectures of Business Intelligence environment and incorporate it with marketing strategies
  2. understand the scope, power and limitations of the methods and tools of BI and adapt appropriate BI solutions to facilitate the decision-making processes
  3. apply systematic and analytical thinking on planning business intelligence roadmaps to derive insights and generate value within a variety of business contexts
  4. enhance interpersonal and communication skills with analytical thinking and data visualisation techniques.

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every teaching period. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the teaching period.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

Please check the international course and fee list to determine the relevant fees.

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