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Inheriting the legacy of the prestigious DEA Laure Elie program founded in 1987, the Master 2 in Random Modeling, known by the acronym M2MO, is a program of excellence in applied mathematics. The program provides a solid and in-depth foundation in probability, statistics, and stochastic modeling, equipping students with the essential theoretical and practical tools for modeling complex random phenomena and solving real-world problems at the intersection of academic research and the constantly evolving challenges of industry and services.
Thanks to its excellence, the M2MO has established itself over decades as a program of choice for top students from universities and engineering schools. This synergy between the university and the engineering schools has forged a stimulating academic environment and a lasting network of over a thousand graduates spread across the globe.
The Master's program prepares students to become key players in Quantitative Finance and Data Science. M2MO graduates are highly sought after by major banks, insurance companies, asset management firms, and other financial institutions. The skills acquired are also highly valued by cutting-edge industries and innovative startups in sectors such as energy, telecommunications, aerospace, artificial intelligence, medical imaging, and cryptocurrencies. Each year, several M2MO students pursue doctoral studies, and some later become professors and researchers. Joining the M2MO program means benefiting from an internationally renowned faculty and accessing constantly updated knowledge that opens up top-tier career opportunities.
Programme overview
Main Subject
Mathematics
Degree
Other
Study Level
Masters
Study Mode
On Campus
Inheriting the legacy of the prestigious DEA Laure Elie program founded in 1987, the Master 2 in Random Modeling, known by the acronym M2MO, is a program of excellence in applied mathematics. The program provides a solid and in-depth foundation in probability, statistics, and stochastic modeling, equipping students with the essential theoretical and practical tools for modeling complex random phenomena and solving real-world problems at the intersection of academic research and the constantly evolving challenges of industry and services.
Thanks to its excellence, the M2MO has established itself over decades as a program of choice for top students from universities and engineering schools. This synergy between the university and the engineering schools has forged a stimulating academic environment and a lasting network of over a thousand graduates spread across the globe.
The Master's program prepares students to become key players in Quantitative Finance and Data Science. M2MO graduates are highly sought after by major banks, insurance companies, asset management firms, and other financial institutions. The skills acquired are also highly valued by cutting-edge industries and innovative startups in sectors such as energy, telecommunications, aerospace, artificial intelligence, medical imaging, and cryptocurrencies. Each year, several M2MO students pursue doctoral studies, and some later become professors and researchers. Joining the M2MO program means benefiting from an internationally renowned faculty and accessing constantly updated knowledge that opens up top-tier career opportunities.
Admission Requirements
1 Year
Sep
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master in Statistics, Probability and Finance - Random Modeling, Finance and Data Science
Université Paris Cité headquarters, Paris, France
12 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
Other
Study Level
Masters
Study Mode
On Campus
Inheriting the legacy of the prestigious DEA Laure Elie program founded in 1987, the Master 2 in Random Modeling, known by the acronym M2MO, is a program of excellence in applied mathematics. The program provides a solid and in-depth foundation in probability, statistics, and stochastic modeling, equipping students with the essential theoretical and practical tools for modeling complex random phenomena and solving real-world problems at the intersection of academic research and the constantly evolving challenges of industry and services.
Thanks to its excellence, the M2MO has established itself over decades as a program of choice for top students from universities and engineering schools. This synergy between the university and the engineering schools has forged a stimulating academic environment and a lasting network of over a thousand graduates spread across the globe.
The Master's program prepares students to become key players in Quantitative Finance and Data Science. M2MO graduates are highly sought after by major banks, insurance companies, asset management firms, and other financial institutions. The skills acquired are also highly valued by cutting-edge industries and innovative startups in sectors such as energy, telecommunications, aerospace, artificial intelligence, medical imaging, and cryptocurrencies. Each year, several M2MO students pursue doctoral studies, and some later become professors and researchers. Joining the M2MO program means benefiting from an internationally renowned faculty and accessing constantly updated knowledge that opens up top-tier career opportunities.
Programme overview
Main Subject
Mathematics
Degree
Other
Study Level
Masters
Study Mode
On Campus
Inheriting the legacy of the prestigious DEA Laure Elie program founded in 1987, the Master 2 in Random Modeling, known by the acronym M2MO, is a program of excellence in applied mathematics. The program provides a solid and in-depth foundation in probability, statistics, and stochastic modeling, equipping students with the essential theoretical and practical tools for modeling complex random phenomena and solving real-world problems at the intersection of academic research and the constantly evolving challenges of industry and services.
Thanks to its excellence, the M2MO has established itself over decades as a program of choice for top students from universities and engineering schools. This synergy between the university and the engineering schools has forged a stimulating academic environment and a lasting network of over a thousand graduates spread across the globe.
The Master's program prepares students to become key players in Quantitative Finance and Data Science. M2MO graduates are highly sought after by major banks, insurance companies, asset management firms, and other financial institutions. The skills acquired are also highly valued by cutting-edge industries and innovative startups in sectors such as energy, telecommunications, aerospace, artificial intelligence, medical imaging, and cryptocurrencies. Each year, several M2MO students pursue doctoral studies, and some later become professors and researchers. Joining the M2MO program means benefiting from an internationally renowned faculty and accessing constantly updated knowledge that opens up top-tier career opportunities.
Admission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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