For those who like
- Probability
- Data analysis
- Mathematics and applications (in finance, data science, etc.)
Objectives
The track provides training in applied mathematics, specifically in the fields of random modeling and scientific computing for applications (according to choice) in financial mathematics, data science, modeling and signal and image processing.
In practice
We take an in-depth look at mathematical tools for statistics, scientific computing and financial mathematics. The theoretical approach is similar to that of a preparatory class, with seminars and practical sessions completed in R. The Masters 2 completed thereafter often focuses on probability, finance or statistics.
Language of instruction: English
After the track
3rd year technological innovation at Télécom Paris
Master’s-Engineering Dual Degree
- Random modeling, finance and data science (Univ. Paris-Cité)
- Probability & Finance (IP Paris)
- Data Science (IP Paris)
- Statistics, Finance and actuarial science (IP Paris)
- Mathematics of randomness (IP Paris)
- Mathematics, Vision, Learning (IP Paris/Univ. Paris-Saclay)
Professions
Technology companies and the financial industry particularly appreciate dual degrees from this Master’s program. This type of program opens vast opportunities for PhD students to pursue an academic thesis or an industrial project (CIFRE thesis).
Testimonials
I especially appreciated the quality of the demonstrations and the diversity of the mathematical reasoning. In addition, this track helped me understand the tools used in data science and mathematical finance.
The track also paves the way for excellent opportunities in the best applied mathematics Master’s programs (Probability & Finance, Mathematics, Vision, Learning…).
Managers
Head: François Roueff
Head of international mobility: Anne Sabourin
Internship coordination: Laurent Decreusefond