4 options:
- Numerical analysis
- Vision and learning
- Optimization
- Quantitative finance
Semester | Year Master cycle | Course title | ECTS | Status | Track | Instruction language |
Fall | 1 | Advanced programming and algorithms | 2 | Compulsory | French | |
Fall | 1 | Business Management | 2 | Compulsory | French | |
Fall | 1 | Data Science | 1,5 | Compulsory | French | |
Fall | 1 | Finance, Risk, Knowledge: the challenges of the future | 1,5 | Compulsory | French | |
Fall | 1 | Numerical statistics & data analysis | 2 | Compulsory | French | |
Fall | 1 | Project model program simulate | 2,5 | Compulsory | French | |
Fall | 1 | Stochastic processes and applications | 3 | Compulsory | French | |
Fall | 1 | Dynamic systems control/functional analysis | 3 | Semi-elective | French | |
Fall | 1 | Fourier analysis | 2 | Semi-elective | Modeling | French |
Fall | 1 | Game Theory | 3 | Semi-elective | Optimization | French |
Fall | 1 | Operations Research | 3 | Semi-elective | Optimization | French |
Fall | 1 | Software development technique | 3 | Semi-elective | Vision Learning | French |
Fall | 1 | Stochastic optimization and renewable energy | 3 | Semi-elective | Optimization | French |
Spring | 1 | Continuous optimization | 3 | Compulsory | French | |
Spring | 1 | Department project | 5 | Compulsory | French | |
Spring | 1 | Introduction to law | 3 | Compulsory | French | |
Spring | 1 | Corporate financial strategy | 3 | Semi-elective | Probabilities and finance | French |
Spring | 1 | Deep Learning | 2 | Semi-elective | Vision Learning | French |
Spring | 1 | Evolution problems | 3 | Semi-elective | Modeling | French |
Spring | 1 | Finance: mathematical and numerical aspects | 3 | Semi-elective | Probabilities and finance | French |
Spring | 1 | Information Processing and Artificial Vision | 3 | Semi-elective | Vision Learning | French |
Spring | 1 | Large-scale statistics | 3 | Semi-elective | Probabilities and finance | French |
Spring | 1 | Machine Learning | 3 | Semi-elective | Vision Learning | French |
Spring | 1 | Vagary & Real Time in the Supply Chain | 3 | Semi-elective | Optimization | French |
1 | Coaching and Career Guidance | 0,5 | Compulsory | French | ||
1 | Humanities and Social Sciences | 3 | Compulsory | French | ||
1 | Internship | 2,5 | Compulsory | |||
1 | Languages | 7,5 | Compulsory | |||
1 | Sport | 1 | Compulsory | French | ||
Fall | 2 | Business Intelligence | 1 | Compulsory | French | |
Fall | 2 | Internship feedback | 1,5 | Compulsory | French | |
Fall | 2 | Languages | 4,5 | Compulsory | ||
Fall | 2 | Mathematics for complex systems | 5 | Semi-elective | Vision Learning | French |
Fall | 2 | Mathematics of finance and data (master) | 25,5 | Semi-elective | Probabilities and finance | French |
Fall | 2 | Mathematics Vision Learning (master) | 20 | Semi-elective | Vision Learning | French |
Fall | 2 | Modeling Analysis Simulation (master) | 25,5 | Semi-elective | Modeling | French |
Fall | 2 | Operational research (master) | 25,5 | Semi-elective | Optimization | French |
Fall | 2 | Probability and Random Models (master) | 25,5 | Semi-elective | Probabilities and finance | French |
Fall | 2 | Sustainable and Green Finance (programme) | 25,5 | Semi-elective | Probabilities and finance | English |
Spring | 2 | Graduation project | 30 | Compulsory |