ENSAE Paris - École d'ingénieurs pour l'économie, la data science, la finance et l'actuariat

Third year course catalogue

All courses in the 3rd year catalog are open to engineering students (and international exchange students), subject to compatibility with their schedules. It is possible to replace one or more optional courses from one's specialization by one or more courses from another specialization (see catalog below), if the schedule allows it.
MatièreECTS
Actuarial Study of Life Insurance4
Actuarial Study of Non-life Insurance4
Advanced econometrics: Panel data and duration models4
Advanced Macroeconomics: Recursive Methods4
Advanced optimisation3
Algorithm Design and Analysis3
Applied Statistical Learning3
Bayesian Statistics3
Blockchain: Bitcoin and Smart-Contracts3
Catastrophic Risks, Cyber risk and Insurance Markets2
Computational Social Sciences4
Copulas and financial applications3
Corporate Financial Strategy3
Data Challenge S13
Demography3
Digital Finance: Cryptocurrencies and Blockchains3
Dynamic models with latent variables2
Dynamic pricing and revenue management3
Econometrics of Competition (X)4
Economics of Inequality:Measures and Findings4
EDP in finance3
Empirical Industrial Organization4
Empirical methods for business decisions3
English 3A/M2 - S13
Entrepreneurship 13
Environmental Economics: Analysis and Modelling4
Ethics and responsibility in data science- S11
Experiments in Economics and Social Sciences4
Fairness and Privacy in Machine Learning4
Financial Econometrics4
Foreign Language 2 - S12
Foundations of Risk Management3
Green Finance: Core Notions4
Green finance: Risk and Portfolio Management3
Health Economics3
Hidden Markov Models and Sequential Monte-Carlo methods3
High-dimensional statistics3
Hi!ckathon2
Information theory for machine learning3
Infrastructures and Software Systems3
Insurance seminars0
International trade4
Labor economics4
Machine Learning for Climate Risk2
Machine Learning for Financial Time Series4
Machine Learning for Portfolio Management and Trading2
Macroeconometrics and Machine Learning3
Macroeconometrics: Advanced Time-Series Analysis4
Marketing2
Mathematics for damage insurance: theory and practice4
Mathematics of Machine Learning4
Methods in quantitative sociology4
Microeconometric Evaluation of Public Policies4
Microeconomic Theory of Insurance3
Modeling and managing energy risks2
Monetary economics3
Nonparametic estimation and testing3
Online learning and aggregation3
Place, Market and Inequality3
Political Economy4
Pricing and hedging of financial derivatives4
Projects in economics, sociology, and data science - S13
Public Economics4
Public Finance (Economics)4
Randomized Methods and Policy Evaluation4
Research project in finance and insurance - 1st semester3
Risk measures2
Risk Theory2
Statistical Methods of Econometrics3
Stochastic Calculus (ENSTA)3
Surveys3
Theory of Industrial Organization4
Topics in quantitative sociology3
Understanding national accounts3
Valuations of Start-ups (X)2
MatièreECTS
Actuarial Study of Pensions2
Advanced econometrics: Semi-parametric and simulations4
Advanced Microeconomics: design and study of markets4
AI for Better Risk Control4
AI: Law, Regulation and Use Cases1
Algorithmic Trading3
Analysis of Matrix Data3
Advanced Labor Economics: Theory and Applications3
Applied macroeconomic modelling: Policies, the business cycle, and the green transition 2
Artificial Intelligence for Business Decisions3
Class, Race, Gender - Rethinking intersectional class analysis in the 21st Century4
Competition Policy in Practice : Cases3
Compressed Sensing4
Credit risk3
Credit Risks: practical approach (ENSTA)3
Data challenges in actuarial science and regulation2
Data challenge S23
Data Storytelling3
Deep Learning: Models and Optimization3
Deployment of Data-Science Projects3
Development Economics 4
Digital Economics (X)4
Econometrics of Commodity and Asset Pricing3
Economic and social policy seminar3
Economics of AI4
Economics of Education and Human Capital4
Economics of Energy Markets2
Economics of Inequality: Measures and Findings4
Economics of redistribution and social protection3
Empirical Environmental Economics4
English 3A/M2 - S23
Entrepreneurship 23
Ethics and responsibility in data science- S2 
Extreme-value theory2
Financial conferences0
Financial regulation2
Foreign Language 2 - S22
GARCH and stochastic volatility models3
Generative AI for insurance and actuarial studies3
GPU program2
Green Finance:Risk and portfolio management3
History and epistemology of Statistics3
Insurance seminars - S20
Interest rate curve models3
International Economics4
Levy process3
Machine Learning for Econometrics4
Machine Learning for Natural Language Processing3
Machine learning in finance: Theoretical foundations3
Merger and Acquisition3
Numerical Methods in Financial Engineering4
Online learning and aggregation3
Optimal Transport: From Theory to Tweaks, Computations and Applications in Machine Learning3
Parallel Programming for Machine Learning2
Portfolio management and Asset & Liability Management4
Projects in economics, sociology, and data science - S23
Public Finance (Economics)4
Regulation and Insurance2
Reinforcement learning - 3A/MS3
Research project in finance and insurance - 2nd semester3
Risk Management and Reinsurance2
Sampling Methods: from MCMC to Generative Modeling3
Science of social and economic networks4
Seminar in quantitative marketing2
Short-term macroeconomic analysis2
Social Inequalities4
Population health3
Statistical Optimal Transport3
Statistics 34
Surveys making3
Surveys Seminar2


NB: the courses of the integrated curriculum (end of August to end of September) are not mentioned in this table; nor are the courses open only for a partner Master (Master in Economics etc.) outside the engineering cycle.