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

Year 1 (70 ECTS)

Period: Mid-September to Mid-December

1st week: DSB Data Camp

2 Refresher Courses
MAP530 Probability Refresher
MAP532 Mathematical foundations of data science

5 Mandatory Courses

MAP531 Probability and statistics with R (5 ECTS)
MAP534 Machine Learning 1 (5 ECTS)
MAP535 Linear algebra and regression (5 ECTS)
MAP536 Python for Data Science (5 ECTS)
MAP547 Seminars (2ECTS)

Period : November to January (P1-P2)

2 mandatory courses:
MAP541 Machine Learning II (4 ECTS)
MAP543 Database Management (4 ECTS)

Second Term (January-March) (P2)

1 Mandatory course (5ECTS)
Optimization / Deep Learning (5 ECTS)

1 Elective scientific course (5 ECTS)
MAP540 Capgemini DataCamp Projects (5ECTS)
MAP544 Carrefour DataCamp Projects (5ECTS)

Transverse course (September to March) (P1-P2)

Language (3 ECTS)
Humanities (2 x 1.5 ECTS)
Sport activities (2 ECTS)

Internship for DSB MAP596A (X) ou B (non X)

Year 2

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