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

Year 1 (70 ECTS)

Period 1: Mid-September to Mid-December

Data Science Bootcamp 

Hands-on Introduction to Data Science

Mandatory Courses

Statistics 
APM_51435 Linear Algebra and Regression 
APM_51434 Machine Learning 1 
APM_51437 Python/R 
APM_50441 Machine Learning 2
APM_50443 Database Management 
APM_51401 Datacamp

Period 2: November to January

Mandatory Course

APM_52445 Optimization/ Deep Learning 

Select 1 Course

APM_52440 Capgemini DataCamp Projects 
APM_52446 Data Challenge

Period 3

Internship

INT_52407 16-20 week Internship in a company

Year 2

Core Courses

  • Data for business challenges
  • Data engineering courses : using the latest tools (Spark, Github, Daitaku, Tableau...) to build and deploy models
  • Advanced coding in Python for Machine Learning
  • Reinforcement learning and advanced Deep Learning
  • Data & Strategy, Data & Finance, Data & Sustainability, Data & Regulation, Data for Ethics
  • Algorithmic Fairness & Interpretability

Business Challenges

  • Data challenge Natixis
  • Data Business challenge Sustainability

Tracks

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

Learning Expeditions

  • Paris
  • London