Master’s in Mathematics and Applications

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Mobility

New technologies developed in industry or the service sector rely on increasingly sophisticated mathematical tools. The Mathematics and Applications specialisation aims to prepare students for careers requiring a high level of mathematical expertise. The programme therefore enables graduates to enter the engineering sector, whilst also providing a pathway into careers in research or teaching.

Semester 3

Teaching Unit (UE) Reference ECTS ECs
Option: For external use (OPT-M-MATH21-EXT)
EC Name LMD Level Period Language Ref. Hours
Markov chains and processes
L1 L2 L3 M1 M2
FR M-MATH21-CPM —
Advanced Methods in Computational Mathematics
L1 L2 L3 M1 M2
FR M-MATH21-MAEDP —
Optimisation and non-smooth analysis
L1 L2 L3 M1 M2
FR M-MATH21-OANL 20,00h
Asymptotic statistics
L1 L2 L3 M1 M2
FR M-MATH21-SA —
Master’s in Mathematics and Applications / Semester 3 / UE UE-M-MATH21-UE1-1-EXT
EC Name LMD Level Period Language Ref. Hours
Optimal control and applications
L1 L2 L3 M1 M2
FR GM51-SC-CONTOPT 30,00h
Stochastic optimal control
L1 L2 L3 M1 M2
EN GM51-SC-CONTSTO 30,00h
*Variational Methods for Imaging
L1 L2 L3 M1 M2
EN GM51-SC-METVAR 15,00h
Advanced Numerical Methods for the Wave Equation
L1 L2 L3 M1 M2
EN GM51-SC-MNAEO 30,00h
Numerical Methods for Front Propagation
L1 L2 L3 M1 M2
EN GM51-SC-MNPF 30,00h
Large-Scale Optimisation
L1 L2 L3 M1 M2
FR GM51-SC-OGD 30,00h
Stochastic calculus applied to finance
L1 L2 L3 M1 M2
EN GM51-SC-SFIN 30,00h
Optimal control of EDPs
L1 L2 L3 M1 M2
FR M-MATH21-COEDP 20,00h
Non-linear EDPs and homogenisation
L1 L2 L3 M1 M2
FR M-MATH21-EDPNLH 20,00h
Modelling and numerical simulation
L1 L2 L3 M1 M2
FR M-MATH21-MSN 20,00h
Problems in the identification of sources, with applications to the environment
L1 L2 L3 M1 M2
FR M-MATH21-PISAE —
Bayesian statistics, computational statistics, deep learning
L1 L2 L3 M1 M2
FR M-MATH21-SBCAP —
Ergodic theory – Random walks
L1 L2 L3 M1 M2
FR M-MATH21-TEMA —
Master’s in Mathematics and Applications / Semester 3 / UE UE-M-MATH21-UE1-2
Reading Group UE-M-MATH21-UE1-3 6 0
EC Name LMD Level Period Language Ref. Hours
English
L1 L2 L3 M1 M2
FR M-MATH21-ANG —
Pre-vocational training
L1 L2 L3 M1 M2
FR M-MATH21-PPRO —
Master’s in Mathematics and Applications / Semester 3 / UE UE-M-MATH21-UE1-4
Option: For GM (OPT-M-MATH21-GM)
EC Name LMD Level Period Language Ref. Hours
Markov chains and processes
L1 L2 L3 M1 M2
FR M-MATH21-CPM —
Advanced Methods in Computational Mathematics
L1 L2 L3 M1 M2
FR M-MATH21-MAEDP —
Optimisation and non-smooth analysis
L1 L2 L3 M1 M2
FR M-MATH21-OANL 20,00h
Asymptotic statistics
L1 L2 L3 M1 M2
FR M-MATH21-SA —
Master’s in Mathematics and Applications / Semester 3 / UE UE-M-MATH21-UE1-1-GM
EC Name LMD Level Period Language Ref. Hours
Optimal control and applications
L1 L2 L3 M1 M2
FR GM51-SC-CONTOPT 30,00h
Stochastic optimal control
L1 L2 L3 M1 M2
EN GM51-SC-CONTSTO 30,00h
*Variational Methods for Imaging
L1 L2 L3 M1 M2
EN GM51-SC-METVAR 15,00h
Advanced Numerical Methods for the Wave Equation
L1 L2 L3 M1 M2
EN GM51-SC-MNAEO 30,00h
Numerical Methods for Front Propagation
L1 L2 L3 M1 M2
EN GM51-SC-MNPF 30,00h
Large-Scale Optimisation
L1 L2 L3 M1 M2
FR GM51-SC-OGD 30,00h
Stochastic calculus applied to finance
L1 L2 L3 M1 M2
EN GM51-SC-SFIN 30,00h
Optimal control of EDPs
L1 L2 L3 M1 M2
FR M-MATH21-COEDP 20,00h
Non-linear EDPs and homogenisation
L1 L2 L3 M1 M2
FR M-MATH21-EDPNLH 20,00h
Modelling and numerical simulation
L1 L2 L3 M1 M2
FR M-MATH21-MSN 20,00h
Problems in the identification of sources, with applications to the environment
L1 L2 L3 M1 M2
FR M-MATH21-PISAE —
Bayesian statistics, computational statistics, deep learning
L1 L2 L3 M1 M2
FR M-MATH21-SBCAP —
Ergodic theory – Random walks
L1 L2 L3 M1 M2
FR M-MATH21-TEMA —
Master’s in Mathematics and Applications / Semester 3 / UE UE-M-MATH21-UE1-2
Reading Group UE-M-MATH21-UE1-3 6 0

Semester 4

Teaching Unit (UE) Reference ECTS ECs
Thesis UE-M-MATH22-UE2-1 22 0
EC Name LMD Level Period Language Ref. Hours
Optimal control and applications
L1 L2 L3 M1 M2
FR GM51-SC-CONTOPT 30,00h
Stochastic optimal control
L1 L2 L3 M1 M2
EN GM51-SC-CONTSTO 30,00h
*Variational Methods for Imaging
L1 L2 L3 M1 M2
EN GM51-SC-METVAR 15,00h
Advanced Numerical Methods for the Wave Equation
L1 L2 L3 M1 M2
EN GM51-SC-MNAEO 30,00h
Numerical Methods for Front Propagation
L1 L2 L3 M1 M2
EN GM51-SC-MNPF 30,00h
Large-Scale Optimisation
L1 L2 L3 M1 M2
FR GM51-SC-OGD 30,00h
Stochastic calculus applied to finance
L1 L2 L3 M1 M2
EN GM51-SC-SFIN 30,00h
Optimal control of EDPs
L1 L2 L3 M1 M2
FR M-MATH21-COEDP 20,00h
Non-linear EDPs and homogenisation
L1 L2 L3 M1 M2
FR M-MATH21-EDPNLH 20,00h
Modelling and numerical simulation
L1 L2 L3 M1 M2
FR M-MATH21-MSN 20,00h
Problems in the identification of sources, with applications to the environment
L1 L2 L3 M1 M2
FR M-MATH21-PISAE —
Bayesian statistics, computational statistics, deep learning
L1 L2 L3 M1 M2
FR M-MATH21-SBCAP —
Ergodic theory – Random walks
L1 L2 L3 M1 M2
FR M-MATH21-TEMA —
Master’s in Mathematics and Applications / Semester 4 / UE UE-M-MATH22-UE2-2