Digital Economics - 297 - 2nd year of master's degree

Program Objectives

This academic track provides expert training in digital economics and methods for analyzing mass data. Harnessing this type of data requires new skills to be able to process high volumes of input and extract useful information. This track therefore aims to train quantitative economists in processing and modeling large, complex datasets to shed light on the decisions of businesses and institutional stakeholders. Employment opportunities are highly varied: data analyst, consultant, economic expert, etc.

  • Make use of statistical and econometric tools to obtain reliable and robust answers, to shed light on businesses and public or semi-public institutions’ options
  • Learn about quantitative methods for processing massive databases
  • Get trained in computer programming to process large and complex databases
  • Report on the results of economic, statistical and/or econometric results to different audiences, orally and in writing
Types of education
Initial training
Language(s)
English
ECTS Credits
60 credits
Internship
12 weeks
Capacity
30
Type of Diploma
Diploma from a major institution conferring the Master's degree
Academic Year
2020/2021