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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


You must also complete 87.5 credit points (7 OUA subjects) before undertaking this subject.

Special requirements

No special requirements

This subject aims to develop and enhance students’ conceptual and practical understanding in Business Analytics in a business context. Students will have an opportunity to immerse themselves in a problem-solving activities requiring lateral and critical thinking by exploring Big Data, considering and applying the appropriate analytic techniques and/or tools, and approach an organisational problem through data-driven decision making process.

  • Individual/Group (100%)

Textbook information is pending.

Related degrees

undergraduate SWI-BUS-DEG-2018

Bachelor of Business

  • Bachelor of Business Core Subjects
  • Major in Advertising (this Major is currently in teach-out)
  • Major in Economics
  • Major in Finance
  • Major in Information Systems
  • Major in Marketing
  • Co-Major in Advertising (this Co-Major is currently in teach-out)
  • Co-Major in Economics (for Finance students)
  • Co-Major in Economics (not for Finance students)
  • Co-Major in Finance (cannot be taken with the Finance or Economics Major)
  • Co-Major in Finance (for Economics students)
  • Co-Major in Information Systems
  • Co-Major in Marketing (cannot be taken with the Marketing Major)

undergraduate SWI-CIS-DEG-2018

Bachelor of Business Information Systems

  • Core Subjects Information Systems
  • Major in Business Analysis
  • Major in Data Analytics
  • Co-Major in Economics
  • Co-Major in Marketing