M2 Modélisation Aléatoire, Finance et Data Science (M2MO)
Mathematics-department master (successor to the DEA Laure Elie) in probability, statistics, stochastic modelling and financial mathematics, with weekly professional seminars and optional courses.
What you’ll study
The programme doesn’t publish a unit list. Check the programme website for the current structure.
Before you apply
- Background
- Mathematics-focused M1 with strong probability/statistics, an engineering degree, or equivalent
- Maths
- excellent level in probability and statistics
- Other
- File selection, possibly interview and/or knowledge test
Source: odf.u-paris.fr ↗
After graduation
- Typical first roles
- Quantitative finance, Data science, PhD
- Employers
- Banks, Insurance companies, Asset managers, Energy, telecoms, space and AI firms and startups
Source: odf.u-paris.fr ↗
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 They’re personal views and may be out of date.
- Target Masters In Europe For Trading Desks (QuantNet)
Success rate 76.5% for 2020-21 (admitted share of enrolments). Course list available only via m2mo.fr. Tuition: national fees set annually, no amount given.
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.