The data analysis report is a single document that, independently of the self-review report, objectively analyses and interprets the business intelligence data of a course.
The purpose of the report is to highlight points that can be explored and discussed by both the Self-Review Team and the Independent Review Panel.
As minimum the report should include the following data:
- Academic standards including entry levels and grade distributions (ATAR distributions for domestic undergraduates and GPAs for graduate entry).
- Student experience and employer ratings (e.g Student Evaluations of Teaching and Units (SETU) and relevant national QILT program indicators)
- Graduate outcomes including satisfaction, employment and progression to further study (e.g relevant national QILT program indicators).
- Student academic outcomes including progression, retention, success and completion rates.
- Course profitability trends and financial performance.
- Demand, enrolments and load trends also addressing inclusion and diversity.
The data:
- should be analysed by relevant subgroups (e.g. low SES/Indigenous/population; domestic/international; full time/part-time; campus; country of origin; gender).
- must be compared against similar level courses within the faculty, the University and against at least one appropriate comparable external institution (national or international).
For further information refer to Benchmarking or external referencing.
The report should be no more than 10 pages, but courses with many specialisations and/or majors, or where a suite of cognate courses are reviewed as a package, the report can be up to a maximum of 20 pages.
For information on the Data Analysis report refer to section 4.3.2 of the Course Review Procedure.
Download the Data Analysis Report Sources Examples Template
