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 : Networks and Communications
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- Computer networks
- Modèles stochastiques pour les communications
- Principles of digital communications
- Probabilites and statistics
- Signals and systems (for EL&IC)
- Track 2 : Security, Cryptography and Privacy
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- Algorithms
- Algebra
- Computer security
- Theory of computation
- Track 3 : Signal and Image Processing
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- Analyse IV
- Signals and systems (for EL&IC)
- Signal processing for communications
- Track 4 : Computer Engineering
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- Architecture des systems-on-chip
- Introduction to multiprocessor architecture
- Projet de systems-on-chip
- Track 5 : Software Construction
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- Functional programming
- Introduction to database systems
- Introduction to operating systems
- Parallelism and concurrency
- Programmation orientée système
- Projet programmation système
- Software development project
- Software engineering
- 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 IC)
- Track 8 : Data Science
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- Analyse IV
- Functional programming*
- Internet analytics
- Introduction to database systems
- Introduction to machine learning
- Modèles stochastiques pour les communications
- Signals and systems (for EL&IC)
- Signal processing for communications