The goal of this course is to provide you with a quick but solid introduction to a theoretical foundations of machine learning.

Through a mixture of theory and substantive applications, this short course will introduce you to important issues that are typically ignored in the first course in causal inference.

The Master 2 in Statistics and Econometrics is open to students who have already acquired a solid grounding in economics and mathematical statistics. The course's objective is to provide students with a solid culture in the major areas of applied statistics.

This program will enhance your career opportunities in the industry, government agencies, academia, and entrepreneurship. Your skills in economics, mathematics, statistics, and computer science, which form a basis for analyzing business and economic data, will be greatly improved. Upon completion, you will have some of the background necessary for graduate programs in economics, statistics, business administration, agricultural economics, finance, quantitative finance, and data analytics, among others. You will also be prepared for positions in academia, business, consulting, investment banking, actuarial science, financial operations, and more.