Over the last few years, the rise of computing power, as well as access to large data sets has led to the development of decision-making algorithms based on statistical learning. All sectors related to the digital society (self-driving cars, robotics, language processing, Internet recommendation systems) implement algorithms that use machine learning techniques. In industrial systems engineering, the models used for simulation are becoming more complex because the need for optimization is exploding. They must be coupled in order to take into account complex phenomena of different nature and allow more reliable or richer, more accurate or faster simulations. The world of finance and insurance is also evolving under the influence of regulators (prudential regulation) but also of that new situations (risks of climate change) with the automatic processing of market data. A new discipline of technological expertise has emerged, located at the interface between the mathematics and computer science communities and mobilizes a growing number of young engineers and researchers focused on applications related to the analysis of massive data.
Mathematical research and education has a long established history in France. Mathematics courses at École des Ponts ParisTech achieve a delicate balance between fundamental aspects and applications and is constantly adapting to society’s expectations.
Mathematical research has a longestablished history in France. Mathematics courses at École des Ponts ParisTech achieve a delicate balance between fundamental aspects and applications.
►"Diplôme d'ingénieur" - Applied Mathematics and Computer Science
Learn how to handle modelling, computation, optimization, and design tools.
►Mathematics for Finance and Data
This program focuses on the techniques of quantification and risk coverage on the financial markets.
►Mathematics, Vision, Learning
The program provides an advanced mathematical and experimental training in analysis, PDEs, geometry, probability, and statistics, used in the study of current research on vision, hearing, learning and information theory, biological and medical imaging.
►Design by Data
The program provides attendees with a cross-disciplinary culture of computational design and a comprehensive knowledge of cutting-edge technologies in the fields of parametric architecture, robotics, digital manufacturing and 3D printing for the construction industry.
Advanced Mesh Modeling and Data Bodies
Algorithms and Data Structures
Data-driven Robust Optimization
Econometrics & Data Analysis
From Data to Information
Introduction to Data Assimilation
Introduction to Design by Data
Machine Learning & Applications
Mathematics for Image Processing
Numerical Statistics & Data Analysis
Presenting Data / Manipulating Data
Software Design and Development
Statistics & Data Analysis