Preparatory teaching

Building the future experts in Statistics and Applied Economics

Preparatory teaching in Statistics and Applied Economics provides foundational knowledge and skills needed for advanced studies in these fields. Students learn essential statistical techniques, economic principles, and introductory econometrics to prepare for more complex analysis. Key areas include:

Statistics

Economics

Probability

Data Analysis

Curriculum Structure

Quantitative Sciences

  • Mathematical Analysis
  • Algebra
  • Descriptive Statistics
  • Probability Theory

Economic Sciences

  • Microeconomics
  • Macroeconomics
  • Accounting
  • Economic Geography

Social Sciences

  • Introduction to Law
  • History of Economic Facts
  • Sociology

Modern Skills

  • Programming
  • Artificial Intelligence
  • French Language
  • English Language

Learning & Process

Learning Outcomes

✔ Analytical Skills

✔ Methodological Competencies

✔ Quantitative Reasoning

✔ Economic Understanding

✔ Digital Literacy

✔ Language Proficiency

Access to the Second Cycle

80% of pedagogical seats Awarded based on students' continuous academic performance over the two years.0%
80 %
20% of seats are allocated through a competitive written examination, providing an additional equitable opportunity for students to prove their qualifications0%
20 %

Selection and Excellence

This dual evaluation system serves as a highly effective mechanism to guarantee that only the most capable and well-prepared students proceed to specialized training in statistics and applied economics.