Master Year 1 Applied Mathematics and Statistics
| Year | Master Year 1 |
| Program | Applied Mathematics and Statistics |
| ECTS Credits | 60 |
| Language | French, some courses in English |
| Orientation | Research or Industry |
| Location | Palaiseau Campus |
| Course duration | 12 months, full time |
| Course start | September |
| Degree awarded | Master’s degree obtained on completion of a second year of Master |
WHY ENROLL IN THIS PROGRAM?
Asset n° 1
Build your own curriculum in mathematical sciences through a wide variety of courses, seminars, projects and internships
Asset n°2
Get ready for a career in research and benefit from close links with the Institut Polytechnique de Paris laboratories
Asset n°3
Prepare for a PhD through PhD tracks in Mathematics for Finance or Data Science and Artificial Intelligence
This first-year Master’s program offers a wide range of basic and more specialized courses in applied mathematics. This allow students to build a personalized curriculum adapted to their academic and professional projects in the following areas:
- Statistics, finance and actuarial science
- Modeling, probability and artificial Intelligence
- Optimization
- Signal, computing and machine learning
- Numerical analysis and EDP
Students can also follow PhD Tracks to guide them towards a doctorate at the end of the Master:
- PhD track Mathematics for Finance
- PhD track Data Science and Artificial Intelligence
Objectives
This program allows students to:
- Acquire a solid foundation in applied mathematics to pursue doctoral studies or directly apply for a mathematics-related position in an academy, business or industry
- Delve deeper into applied mathematics by addressing current, open problems
- Develop a strong relationship with research through seminars, mentoring projects and internships in research labs or companies
To complete the Master’s degree, first-year students can enter the following second-year programs:
On completing the second year of the Master, graduates can apply for PhD funding in top research labs or a job requiring advanced knowledge of applied mathematics and statistics.
Core courses
3 courses to choose from
|
MAP551 Systèmes dynamiques pour la modélisation et la simulation des « milieux réactifs » multi-échelles |
36h 5 ECTS Français |
|
MAP552 Modèles stochastiques en Finance |
36h 5 ECTS Français |
|
MAP553 Regression |
36h 5 ECTS Français |
|
MAP555 Signal Processing |
36h 5 ECTS Français |
|
MAP556 Stochastic simulation and Monte-Carlo methods |
36h 5 ECTS Français |
|
MAP557 Recherche opérationnelle : aspects mathématiques et applications |
36h 5 ECTS Français |
|
MAP560 Variational Methods for Coputional Fluid Dynamics ( F.Alouges) |
36h 5 ECTS Français |
Elective courses
1 to choose from:
|
MAP572 Mise en oeuvre de méthodes numériques |
36h 5 ECTS Français |
|
MAP573 Data Analysis and Unsupervised Learning |
36h 5 ECTS Français |
|
MAP575 Fondements des probabilités et applications
|
36h 5 ECTS Français |
Core courses
3 to choose from
|
MAP562 Optimal Design of Structures |
36h 5 ECTS Français |
|
MAP563 Modèles aléatoires en biologie, écologie et évolution |
36h 5 ECTS Français |
|
MAP564 Communication Networks and Social Networks : probabilistic models and algorithms/Réseaux sociaux et de communication : modèles et algorithmes probabilistes |
36h 5 ECTS Français |
|
MAP565 Modélisation statistique |
36h 5 ECTS Français |
|
36h 5 ECTS Français |
|
|
MAP/MAT567 Transport et diffusion |
5 ECTS Français |
|
MAP568 - Gestion des incertitudes et analyse de risque ( |
5 ECTS Français |
|
MAP585 Théories de l’apprentissage
|
36h 5 ECTS Français |
Elective courses
1 to choose from
|
Apprentissage profond
|
36h 5 ECTS Français |
|
MAP584 Mise en oeuvre effective de la méthode des éléments finis |
36h 5 ECTS Français |
|
MAT/MAP587 Transport et diffusion
|
36h 5 ECTS Français |
Internship
18 weeks
End of March to end of July
20 ECTS
Admission requirements
Academic prerequisites
Completion of a bachelor’s degree in mathematics, mathematical sciences or related field in France or abroad.
Language prerequisites
- French
- English (for some courses)
How to apply
Applications can be submitted exclusively online. You will need to provide the following documents:
- Transcript
- Two academic references (added online directly by your referees)
- CV/resume
- Statement of purpose
You will receive an answer in your candidate space within 2 months of the closing date for the application session.
Fees and scholarships
- EU/EEA/Switzerland students: 4243€
- Non-EU/EEA/Switzerland students: 6243€
- Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
- Special cases: please refer to the "Cost of studies" of the FAQs
Find out more about scholarships
Applications and admission dates
Coordinators
- François Alouges (Ecole polytechnique)
- Frédéric Jean (ENSTA Paris)
- Pascal Bianchi (Télécom Paris)
- Guillaume Lecue (ENSAE Paris)
General enquiries
This first-year Master’s program offers a wide range of basic and more specialized courses in applied mathematics. This allow students to build a personalized curriculum adapted to their academic and professional projects in the following areas:
- Statistics, finance and actuarial science
- Modeling, probability and artificial Intelligence
- Optimization
- Signal, computing and machine learning
- Numerical analysis and EDP
Students can also follow PhD Tracks to guide them towards a doctorate at the end of the Master:
- PhD track Mathematics for Finance
- PhD track Data Science and Artificial Intelligence
Objectives
This program allows students to:
- Acquire a solid foundation in applied mathematics to pursue doctoral studies or directly apply for a mathematics-related position in an academy, business or industry
- Delve deeper into applied mathematics by addressing current, open problems
- Develop a strong relationship with research through seminars, mentoring projects and internships in research labs or companies
To complete the Master’s degree, first-year students can enter the following second-year programs:
On completing the second year of the Master, graduates can apply for PhD funding in top research labs or a job requiring advanced knowledge of applied mathematics and statistics.
Core courses
3 courses to choose from
|
MAP551 Systèmes dynamiques pour la modélisation et la simulation des « milieux réactifs » multi-échelles |
36h 5 ECTS Français |
|
MAP552 Modèles stochastiques en Finance |
36h 5 ECTS Français |
|
MAP553 Regression |
36h 5 ECTS Français |
|
MAP555 Signal Processing |
36h 5 ECTS Français |
|
MAP556 Stochastic simulation and Monte-Carlo methods |
36h 5 ECTS Français |
|
MAP557 Recherche opérationnelle : aspects mathématiques et applications |
36h 5 ECTS Français |
|
MAP560 Variational Methods for Coputional Fluid Dynamics ( F.Alouges) |
36h 5 ECTS Français |
Elective courses
1 to choose from:
|
MAP572 Mise en oeuvre de méthodes numériques |
36h 5 ECTS Français |
|
MAP573 Data Analysis and Unsupervised Learning |
36h 5 ECTS Français |
|
MAP575 Fondements des probabilités et applications
|
36h 5 ECTS Français |
Core courses
3 to choose from
|
MAP562 Optimal Design of Structures |
36h 5 ECTS Français |
|
MAP563 Modèles aléatoires en biologie, écologie et évolution |
36h 5 ECTS Français |
|
MAP564 Communication Networks and Social Networks : probabilistic models and algorithms/Réseaux sociaux et de communication : modèles et algorithmes probabilistes |
36h 5 ECTS Français |
|
MAP565 Modélisation statistique |
36h 5 ECTS Français |
|
36h 5 ECTS Français |
|
|
MAP/MAT567 Transport et diffusion |
5 ECTS Français |
|
MAP568 - Gestion des incertitudes et analyse de risque ( |
5 ECTS Français |
|
MAP585 Théories de l’apprentissage
|
36h 5 ECTS Français |
Elective courses
1 to choose from
|
Apprentissage profond
|
36h 5 ECTS Français |
|
MAP584 Mise en oeuvre effective de la méthode des éléments finis |
36h 5 ECTS Français |
|
MAT/MAP587 Transport et diffusion
|
36h 5 ECTS Français |
Internship
18 weeks
End of March to end of July
20 ECTS
Admission requirements
Academic prerequisites
Completion of a bachelor’s degree in mathematics, mathematical sciences or related field in France or abroad.
Language prerequisites
- French
- English (for some courses)
How to apply
Applications can be submitted exclusively online. You will need to provide the following documents:
- Transcript
- Two academic references (added online directly by your referees)
- CV/resume
- Statement of purpose
You will receive an answer in your candidate space within 2 months of the closing date for the application session.
Fees and scholarships
- EU/EEA/Switzerland students: 4243€
- Non-EU/EEA/Switzerland students: 6243€
- Engineer students enrolled in one of the five member schools of Institut Polytechnique de Paris (Ecole polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris and Télécom SudParis): 159€
- Special cases: please refer to the "Cost of studies" of the FAQs
Find out more about scholarships
Applications and admission dates
Coordinators
- François Alouges (Ecole polytechnique)
- Frédéric Jean (ENSTA Paris)
- Pascal Bianchi (Télécom Paris)
- Guillaume Lecue (ENSAE Paris)