MSc in Quantitative Finance (MScQF)
A joint UZH–ETH master combining finance and mathematical methods in finance, with a 30-ECTS thesis. Admission is selective, with provisional admission by a steering committee, possibly an interview on maths and finance.
What you’ll study
The programme doesn’t publish a unit list. Check the programme website for the current structure.
Before you apply
- Background
- Bachelor's from a state-accredited university in economics, finance or a science (maths, physics, engineering, data science)
- Maths
- multivariate calculus; linear and matrix algebra; real analysis (at least univariate, incl. compactness); probability and statistics (Probability Essentials-level)
- Programming
- Basic experience in a prototyping language (Julia, Matlab, Python, R)
- Tests
- GRE/GMAT not mentioned
- English
- Good English required (C1 per UZH degree listing); certificate due after provisional admission
- Other
- Possible ~20 min interview on maths and finance; micro, corporate finance and investments fundamentals required
Source: msfinance.uzh.ch ↗
After graduation
- Employers
- Goldman Sachs, J.P. Morgan, UBS/Credit Suisse, Swiss Re
Source: msfinance.uzh.ch ↗
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
ECTS split: core 36 (min 12 each in Finance and Mathematical Methods in Finance), electives 24, thesis 30. Employers listed are sources of internship offers, not graduate outcomes. Course names not on fetched page.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.