The data analytics project course provides students the opportunity to apply and extend concepts, skills and techniques learned throughout the remainder of their program. Assessment includes submission of project final report and an oral presentation.
The projects undertaken can span a diverse range of topics in the realm of statistics and data analytics more broadly, and they can involve theoretical as well as applied work. Topics can vary from year to year, and a selection of pre-specified topics may be provided each year (possibly, but not necessarily, including WIL opportunities). Student learning will be enriched through exposure to research and/or project management skills.
This course will be conducted largely as project work under the direct supervision of a member of academic staff.
Not currently offered.
On successful completion of the course students will be able to:
1. Research and critically investigate technical information about data analytics topics.
2. Apply technical knowledge in data analytics topics.
3. Prepare and present information to in an organised and professional way.
- Literature search to review current knowledge and developments in the chosen technical area.
- Detailed technical work in the chosen area, using theoretical and/or computer-aided techniques for data preprocessing, modeling, analysis, and/or visualisation.
- Progress reports to establish work completed, and to schedule additional work within the time frame specified for the project.
- Formal report describing the work undertaken and results obtained.
- Formal presentation and demonstration of the project.
Students must have successfully completed 40 units of the MBA(Global)/M Science (Data Analytics) program before enrolling in this course.
Statistical software and/or computer programming
Literature Review: Literature Review and Proposal - 30%
Report: Mid Project Progress Report - 15%
Presentation: Project Presentation - 15%
Report: Final Project Report - 40%