MSc Mathematical Engineering – Quantitative Finance track (PoliMi QF)
A track within the Mathematical Engineering MSc centred on stochastic calculus and computational methods for derivative pricing, risk and portfolio management, insurance, and fintech. Double-degree options exist, including with ENSIIE in France.
What you’ll study
Core
- Finanza Matematica I
- Mathematical Finance II
- Financial Engineering
- Computational Finance
- Insurance and Econometrics
- Fintech
Source: qfinlab.polimi.it ↗
Before you apply
- Background
- Bachelor's degree or equivalent with a sound background in core subject areas; foreign applicants reviewed by an Admissions Committee
Source: polimi.it ↗
After graduation
- Typical first roles
- Derivatives valuation and structuring, Risk management, Portfolio management, Insurance contract structuring, Trading and sales, Financial analysis
Source: qfinlab.polimi.it ↗
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 They’re personal views and may be out of date.
- PoliMi (QuantNet thread) (QuantNet)
- Italian Quantitative Finance Masters..which is better? (QuantNet)
Course list is from QFinLab pages and may not be the full track plan. No employment statistics found; maths prerequisites, tests, English score and tuition not retrieved.
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.