OpenFieldSouth Australian Digital Health & Predictive Patient Flow Research Project
Applied empirical research project utilizing time-series machine learning models to predict patient admission surges and optimize nurse staffing schedules in metropolitan Adelaide hospitals.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Enrolled in Master of Business Analytics or Health Services Management with GPA 5.0/7.0
- English language proficiency
- IELTS 6.5 overall
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Research prospectus on emergency department wait-time forecasting or bed occupancy modeling
- Recommendation letters
- AIHE research committee endorsement
How much will it cost? How much funding is available?
- Financial support / stipend
- $6,500 AUD student research grant plus South Australian health data sandbox access
- Application fee
- $0 AUD
- Tuition / joining costs
- Included in graduate study enrollment
Dates and verification
- Application deadline
- March 1, 2027 (2027 Research period)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Adelaide Institute of Higher Education documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue