Subject details

Students who successfully complete this subject will be able to:

  1. Demonstrate an understanding of the critical roles of business analytics in various organisational contexts
  2. Synthesise and develop appropriate business solution scenarios using appropriate analytics and visualisation techniques
  3. Analyse business problems and define the data requirements and business rules associated with the data-driven problem-solving approaches
  4. Demonstrate critical thinking and problem solving
  5. Communicate effectively as a professional and function as an effective leader or member of a diverse team.
    • Use of and value of analytics in Business divisions, management functions, different management levels, performance management
    • Business rules vs business data requirements
    • Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, etc.
    • Multi-platform analytics (mobile, cloud, ERP)
    • Data visualisation, dashboard design, storyboarding with analytics
    • Data-driven decision making vs Intuitive decision making
    • Introduction to advance analytics: Predictive, Prescriptive, CI, sentiment analytics, geospatial analytic
    • Forecasting and predictive analytics, scenario planning
    • Fast data, data lake, social media data, open data
  • Study resources

    • Instructional methods

      • Chat Rooms
      • Discussion forum/Discussion Board
      • E-Portfolios
      • Online Quizzes/Tests
      • Online assignment submission
      • Podcasting/Lecture capture
      • Standard Media
      • Streaming Multimedia
      • Web links

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

SWI-INF10002-Database Analysis and Design , or SWI-INF20004

Others

You must also complete 150 credit points (12 OUA subjects) before undertaking this subject.

Special requirements

No special requirements

Students will develop and enhance their conceptual and practical understanding in data analytics in a business context. Students will have an opportunity to immerse themselves in problem-solving activities requiring lateral and critical thinking by exploring structured and unstructured data, considering and applying the appropriate analytic techniques using a software programming environment for statistical computing (such as R) and visualisation tools and approaching organisational problems through data-driven decision-making processes.

  • Individual/Group (100%)

Textbook information is pending.

Related degrees

undergraduate SWI-BUS-DEG-2019

Bachelor of Business

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  • Major in Economics (THIS MAJOR IS CURRENTLY IN TEACH-OUT)
  • Major in Finance (THIS MAJOR IS CURRENTLY IN TEACH-OUT)
  • Major in Information Systems
  • Major in Marketing
  • Co-Major in Economics (for Finance students) (THIS CO-MAJOR IS CURRENTLY IN TEACH-OUT)
  • Co-Major in Economics (not for Finance students) (THIS CO-MAJOR IS CURRENTLY IN TEACH-OUT)
  • Co-Major in Finance (cannot be taken with the Finance or Economics Major) (THIS CO-MAJOR IS CURRENTLY IN TEACH-OUT)
  • Co-Major in Finance (for Economics students) (THIS CO-MAJOR IS CURRENTLY IN TEACH-OUT)
  • Co-Major in Information Systems
  • Co-Major in Marketing (cannot be taken with the Marketing Major)

undergraduate SWI-CIS-DEG-2019

Bachelor of Business Information Systems

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  • Core Subjects Information Systems
  • Major in Business Analysis
  • Major in Data Analytics
  • Co-Major in Economics (THIS CO-MAJOR IS CURRENTLY IN TEACH-OUT)
  • Co-Major in Marketing