Skip to content
Universities / Institut Polytechnique de Paris (École Polytechnique / ENSAE)

M2 Statistics, Finance and Actuarial Science (Master in Applied Mathematics and Statistics) (M2 SFA)

English-taught statistics and finance track combining financial econometrics, derivatives pricing, risk and machine learning with optional actuarial electives. Can lead to PhD track or French actuary accreditation.

What you’ll study

Core

  • Financial time series
  • Financial Econometrics
  • Pricing and hedging of financial derivatives
  • Introduction to Risk Management
  • Advanced Machine Learning
  • GARCH and stochastic volatility models
  • Statistics of diffusion processes
  • Extreme-value theory

Electives

  • Algorithmic trading
  • Stochastic calculus
  • Risk measures
  • Copulas and financial applications
  • Credit risk
  • Interest rate curve models
  • Portfolio Management
  • High frequency data and order books
  • Machine learning for finance
  • Numerical methods in financial engineering
  • Actuarial study of life insurance
  • Actuarial study of non-life insurance

Source: ip-paris.fr ↗

Before you apply

Background
Year 2 entry: completion of first year of a mathematics master (IP Paris or equivalent)
English
English language prerequisite (B2 stated on programme page); level test not specified
Other
Online application: transcript, two academic references, CV, statement of purpose

Source: ip-paris.fr ↗

After graduation

Typical first roles
Quantitative Analyst, Risk Management Specialist, Financial Data Analyst, Data Scientist

Source: ip-paris.fr ↗

Want to see what employers ask for? Browse open quant roles.

Target sectors: banks, insurers, asset managers, hedge funds. Programme director Aymeric Dieuleveut.

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.

Similar programmes