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