Data and Decision Sciences🔗
The Data and Decision Sciences program is a Master-level specialization in Data Science, modern Artificial Intelligence and Decision Support at ISAE-SUPAERO.
Syllabus🔗
The program is composed of 240h of classes, shared between the following modules:
-
Algorithms in Machine Learning (FSD311, AML)
110 hours on supervised, unsupervised, deep, and reinforcement learning -
Data Engineering (FSD312, DE)
70 hours on data storage, computation, and distribution -
Applied Data Science (FSD313, ADS)
60 hours on data privacy and ethics, the digital economy, and applications of data science -
Seminars (FSD319)
Seminars from professional experts, training sessions, and challenges
This program is complemented by a 6 months internship in data science.
Algorithms in Machine Learning (FSD311, AML)🔗
- Statistical Foundations of Machine Learning
- Unsupervised and Supervised Learning Algorithms
- Deep Learning
- Reinforcement Learning
Data Engineering (FSD312, DE)🔗
- Database Management Systems
- Cloud computing and virtualization
- GPGPU computing
- Distributed computing with Kubernetes and Dask
Applied Data Science (FSD313, ADS)🔗
- Data security and privacy
- Ethics and AI
- Business models in the digital economy
- A hackathon on data science problems
- In-depth modules on computer vision, business intelligence, and reinforcement learning
Seminars (FSD319)🔗
Seminars given throughout the year on data science topics by academics and professional experts, challenges like Kaggle competitions, and more.