Product Management & Marketing Data Analysis - 204 - Master's Year 2

Program Year


  • Machine Learning Competition - Big Data
  • Text Analytics
  • Analyse Données Marketing
  • Conception et gestion des études
  • Etudes qualitatives
  • Panels
  • Qualtrics
  • Business cases 1
  • Gestion financière et marketing
  • Challenge Inter-Parcours


  • Mission de Conseil en Entreprise/TIG
  • Analyse Sensorielle
  • Innovation
  • Marketing Digital
  • Publicité digitale
  • Customer Experience Management
  • Conférences professionnelles
  • Business cases 2
  • Insertion professionnelle
  • Rapport stage

Academic Training Year 2022 - 2023 - subject to modification

Teaching Modalities

The program consists of 450 hours of instruction, spread out over 16 months between September and December.

  • September to December: courses on campus
  • January to May: courses and study assignment for a company
  • June to November: six-month applied internship

The program combines a number of experiences:
Operational knowledge

  • basic management knowledge
  • in-depth marketing analysis frameworks
  • analyses of practical cases presented to professionals
Skills: communication, group work
  • a lot of group work
  • An intensive practicum on presentation techniques and public speaking.
  • English-language practice
Qualities: autonomy, open-mindedness, responsibility
  • an introduction to academic rigor and methods
  • an original, impactful experience in which the student is entirely responsible for managing a study for a company (the assignment)
Several of the program's courses are taught in English, includingMachine Learning, Text MiningandMarketing Strategy.

Internships and Supervised Projects

Students must undertake an internship of least four months' duration.
Finding the company and assignment that matches your career goals is already an important first step. The internship assignment is to help a company with a marketing decision they have to make:

  • Analyze decision-making, identify options and selection criteria
  • Determine information needs and choose the appropriate methodologies
  • Develop the instrument, build and control the field
  • Analyze and synthesize the results for
  • Present the recommendations to the company.

Students pursue this project during private tutorial sessions with a program instructor and Thursday-afternoon group tutorials, which will enable them to follow the different steps of various studies while exercising their critical sensibilities.