Please note this list is indicative of the structure of the degree and may be subject to change.

Année 1 (70 ECTS)

Période 1 (Sept-Dec)

Two Refresher Courses (Without X students)
MAP530 Probability Refresher
MAP532 Mathematical foundations of data science

4 Mandatory Courses

MAP531 Statistics with R (4 ECTS)
MAP534 Machine Learning 1 (4 ECTS)
MAP535 Regression (4 ECTS)
MAP536 Python for Data Science (4 ECTS)

Période 2 (Jan-mars)

3 mandatory courses:
MAP541 Machine Learning II (4 ECTS)
MAP545 Optimization / Deep Learning (4 ECTS)
MAP543 Database Management (4 ECTS)

1 Elective scientific course (1 x 4 ECTS)
MAP540 Capgemini DataCamp Projects
MAP544 Carrefour DataCamp Projects

Cours Transverses

1 mandatory course
MAP547 Data Science for Business Seminars (3 ECTS)

Language (French as a Foreign Language, or other) (3 ECTS)
Humanities (2 x 1.5 ECTS)
Sport activities (2 ECTS)

Période 3 (March to July/August)

16-week research or industrial internship (MAP596A/B) (27 ECTS)

Année 2 (70 ECTS)

Core Courses

  • Introductory Supercase
  • Digital Transformation Strategy
  • Making sense of the technology ecosystem
  • Regulations and Compliance in Data Science
  • Data Analytics for Business Strategy
  • Deep Learning
  • Time Series and Financial Data, Etc.

Business Challenges

  • Data I and II
  • Entrepreneurship


3 Tracks

  • Data Manager: Joining a data science department of a company
  • Data Entrepreneur: Joining the HEC Startup Launchpad and creating a startup
  • Data Consultant: Joining a consulting firm to help clients develop business by leveraging data

Learning Expeditions

  • New York
  • London

Research Paper