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Program Structure

YEAR 1 at Ecole polytechnique

First Period (Mid-September-Mid-December)

2 Refresher courses for students with a business/management background:
MAP530: Probability refresher
MAP532: Mathematical foundations of data science

4 Mandatory Courses
MAP531: Statistics (4 ECTS)
MAP534: Introduction to Machine Learning (4 ECTS)
MAP535: Regression (4 ECTS)
MAP536R: R for Data Science (3 ECTS)

Second period (January to March)

5 Mandatory Courses
MAP540: Data Camp Projects (5 ECTS)
MAP541: Machine Learning II (4 ECTS)
MAP543: Database Management (4 ECTS)
MAP546: Statistics in action (4 ECTS)
MAP536P: Python for Data Science (3 ECTS)

September-March
- One Foreign language module (French language module for non-speaking students) - 3 ECTS
- Two modules of Humanities and French Culture - 3 ECTS
- Sport - 2 ECTS

Fourth period (April to July)

MAP596B: Three-month Internship in a company - 27 ECTS

YEAR 2 at HEC Paris

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

Hackathons

Learning Expeditions
- New York
- London

Research Paper