Please note this list is indicative of the structure of the degree and may be subject to change.
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)
2 mandatory courses:
MAP541 Machine Learning II (4 ECTS)
MAP543 Database Management (4 ECTS)
Second Term (January-March) (P2)
1 Mandatory course (5ECTS)
MAP545 Optimization / Deep Learning (5 ECTS)
1 Elective scientific course (5 ECTS)
MAP540 Capgemini DataCamp Projects (5ECTS)
MAP544 Carrefour DataCamp Projects (5ECTS)
Language (3 ECTS)
Humanities (2 x 1.5 ECTS)
Sport activities (2 ECTS)
Internship for DSB MAP596A (X) ou B (non X)
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
Hackathons
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