OpenFieldSwiss FinTech & Algorithmic Wealth Management Investigation
Empirical financial research project evaluating machine learning models in automated wealth portfolio optimization and regulatory compliance with Swiss FINMA standards.
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 graduate business or financial data science with GPA 3.2+
- English language proficiency
- English C1 proficiency
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Research prospectus on automated asset allocation algorithms or ESG investment scoring
- Recommendation letters
- Faculty research chair endorsement
How much will it cost? How much funding is available?
- Financial support / stipend
- CHF 8,000 research project stipend plus Zurich financial market API data access
- Application fee
- CHF 0
- Tuition / joining costs
- Covered through graduate research enrollment
Dates and verification
- Application deadline
- February 15, 2027 (Spring 2027 research cycle)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Zurich Elite Business School 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