The 2nd and 3rd year courses are gathered below by domain.
The prerequisite courses (indicated by a*) for the Master in Data Science and appearing in the track of the same name remain valid and must be validated during the Bachelor.
- Track 1 : Software Construction
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- Functional programming
- Introduction to database systems
- Introduction to operating systems
- Operating systems implementation
- Parallism and concurrency
- Programmation orientée système
- Projet programmation système
- Software development project
- Software engineering
- Track 2 : Computer Engineering
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- Architecture des systems-on-chip
- Computer architecture
- Introduction to multiprocessor architecture
- Projet de systems-on-chip
- Track 3 : Computer Science Theory
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- Algorithms
- Theory of computation
- Track 4 : Networks and Communications
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- Signals and systems (for EL&IC)
- Modèles stochastiques pour les communications
- Principles of digital communications
- Track 5 : Signal and Image Processing
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- Analyse IV
- Signals and systems (for EL&IC)
- Signal processing for communications
- Track 6 : Visual Computing
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- Introduction à l'informatique visuelle
- Introduction to computer graphics
- Numerical methods for visual computing
- Track 7 : Biocomputing
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- Chimie générale avancée
- Introduction aux sciences du vivant (pour EL&IC)
- Track 8 : Data Science
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- Analyse IV
- Internet analytics
- Introduction to machine learning*
- Modèles stochastique pour les communications*
- Signal processing for communications
- Signals and systems (for EL&IC)*
* Mandatory courses in the track