Business Analytics
UndergraduateSWI-INF300302022
Course information for 2022 intake
Forecast business scenarios and plan solutions that can be applied in a real-life setting. Get hands-on with cloud, mobile and enterprise resource planning software. See where the analyst fits into different business divisions and management levels.
Enrolments for this course are closed, but you may have other options to start studying now. Book a consultation to learn more.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
- Loan available
- HECS-HELP and FEE-HELP available
Business Analytics
About this subject
Students who successfully complete this subject will be able to:
- Demonstrate an understanding of the critical roles of business analytics in various organisational contexts
- Synthesise and develop appropriate business solution scenarios using appropriate analytics and visualisation techniques
- Analyse business problems and define the data requirements and business rules associated with the data-driven problem-solving approaches
- Demonstrate critical thinking and problem solving
- 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
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.
Presentation, reports and journals
Initial Project Plan
Project Management
Presentations
Final report and Solution(s)- Individual/Group (100%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
SWI-INF10003-Introduction to Business Information Systems (no longer available)
Others
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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