Veuillez noter que cette liste est indicative de la structure du diplôme et peut être soumise à des changements.
2 cours de remise à niveau
MAP530 Probability Refresher
MAP532 Mathematical foundations of data science
5 cours obligatoires
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 (2 ECTS)
2 cours obligatoires:
MAP541 Machine Learning II (4 ECTS)
MAP543 Database Management (4 ECTS)
Deuxième période (Janvier - Mars) (P2)
MAP545 Optimization / Deep Learning (4 ECTS)
1 cours scientifique au choix parmi: (5 ECTS)
MAP540 Capgemini DataCamp Projects (5 ECTS)
MAP544 Carrefour DataCamp Projects (5 ECTS)
Language (3 ECTS)
Humanities (2 x 1.5 ECTS)
Sport (2 ECTS)
Stage pour le DSB MAP596A (X) ou B (non X) 20 ECTS
Cours fondamentaux
- 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
Hackathons
Trois filières
- 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
Échange académique
- New York
- London
Mémoire de recherche