OpenFieldMelbourne Centre for Data Science (MCDS) Research Pathway
Interdisciplinary research collaboration hub linking the School of Mathematics and Statistics with the School of Computing and Information Systems, investigating statistical machine learning and high-dimensional data.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Master's or doctoral qualification in Statistics, Mathematics, or Computer Science with strong quantitative records.
- English language proficiency
- Technical English fluency for peer-reviewed academic publication.
- Standardized testing (GRE/GMAT)
- Not required.
- Thesis / Research statement
- Published research in statistical theory, machine learning foundations, or data-driven sciences.
- Recommendation letters
- Two academic referee letters and comprehensive publication list.
How much will it cost? How much funding is available?
- Financial support / stipend
- Funded research fellowships and project grants supported by ARC and university cross-faculty allocations
- Application fee
- Free application directly to Centre leadership
- Tuition / joining costs
- Zero tuition; funded research appointment.
Dates and verification
- Application deadline
- February 28, 2027 for collaborative seed grant and visiting fellow rounds
- Last source review
- 2026-10-14
Important verification note
Facts reflect official The University of Melbourne documentation reviewed 2026-10-14. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-14 · Editorial standards · Report an issue