Supaero Data Science

Syllabus


The program is composed of 240h of classes, shared between the following modules:

This program is complemented by a 6 months internship in top-notch labs or companies.

Foundations in Decision Making (FSD301)

60 hours of classes on:

Algorithms in Machine Learning (FSD311)

80 hours of classes on:

Tools of Big Data (FSD313)

Class website
50 hours of classes on:

Digital Economy and Data Uses (FSD312)

15 hours of classes on:

SDD In-Depths (FSD312)

15 hours given in parallel and chosen by students on:

Hackathon (FSD314)

Autonomy and agility on a real-world challenge in Data Science with external validation.
Counts as a 20 hour class.
Dedicated webpage

Seminars (FSD319)

All year long, by academics and professional experts.
Short off-cursus training sessions.
Challenges: Kaggle competitions, mini-hackathon and capture the flags.

Internship

6 months, with academic validation. Dedicated webpage