Advanced Aviation Analytics and Research Skills
Overview
In this unit students will extend their quantitative and qualitative analytical capabilities and learn to apply them in a structured and methodological approach in order to offer critical insight to aviation industry problems. Using industry standard tools students will apply inferential statistical methods and research design principles to deliver objective and reliable aviation business insight.
Requisites
01-June-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Apply inferential statistical techniques to aviation data to generate sophisticated understanding of practical business problems
- Confidently utilise industry standard advanced analytical tools
- Interface multiple tools, techniques, and data sources to create an analysis pipeline which addresses a specific industry problem
- Devise an appropriate research framework to address quantitative, qualitative or mixed applied aviation challenges
- Describe the challenges and opportunities related to emerging issues in data science and analytics in the aviation industry
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| On-Campus Lecture |
2.00 | 12 weeks | 24 |
| On-Campus Tutorial Labs |
1.00 | 12 weeks | 12 |
| Unspecified Activities Independent Learning |
9.50 | 12 weeks | 114 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment | Individual | 30 - 40% | 1,2 |
| Assignment | Individual/Group | 30 - 40% | 3,4 |
| Presentation | Individual/Group | 30 - 40% | 1,4,5 |
Content
Emerging Issues in Aviation Data Analytics
- Big Data
- Forecasting
- Machine learning
Data Analysis
- Different technologies used for data analysis – i.e. SPSS, PowerBI, Tableau, Palisade
Decision Tools
- Analysing large complex datasets using various mathematical techniques and models
- Inferential statistics and multivariate analysis
- Formulating a business problem as a decision model
- Applying decision analytic methods to obtain efficient solutions to a variety of complex business problems
Data Visualisation
- Dashboard design for Managers
- Different methods for presenting qualitative and quantitative data
- Selecting appropriate visual representations to communicate data
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.