### Entry requirements

Master 1 in mathematics or in computer science, plus bachelor level in the other discipline.

### Benefits of the program

This master is unique in France, with teaching in both mathematics and computer science, and requirements in both disciplines. The teachers from both fields of research are used to working together in the prestigious Labex Bezout.

### Acquired skills

Master level in areas at the interface of mathematics and computer science: optimization, analysis, geometry, combinatorics and machine learning.

Development of research skills: autonomy, personal work on specialized themes, bibliographical review…

Advanced programming skills oriented towards applications of mathematics and computer science.

### Registration details

Applicants residing in France should use the eCandidat application.

Applicants residing abroad should use the 'Etudes En France' application.

### Course venue

Cité Descartes - 5 bd Descartes - 77454 Champs-sur-Marne

Bâtiment Copernic 5 boulevard Descartes Champs-sur-Marne 77441 MARNE-LA-VALLÉE cedex 2

### Schedule of studies

Initial courses for 1 month, then 10 weeks' core curriculum, then 8 weeks' specialization and finally 3 to 6 weeks' internship as of April.

### Your future career

Further studies in a PhD in mathematics or computer science.

Jobs in R&D in areas at the interface of mathematics and computer science, typically optimization and machine learning. Machine learning courses, in particular, are professionalized so that graduates, right at graduation, have operational skills much in demand in the industry.

### Professional integration

Continuing in a PhD in mathematics or computer science. Jobs in R&D in areas between mathematics and computer science, typically optimization and machine learning. Machine learning courses, in particular, are made to be usable directly in the industry.

### Study objectives

At the end of the master, the student should be able to continue with a PhD in mathematics or computer science, with a large knowledge of areas at the interface of both fields. Some courses, such as optimization and machine learning, are also especially designed to be directly usable in the industry.

### Major thematics of study

Mathematics and computer science: discrete and continuous optimization, algorithms and combinatorics, geometry, data science, large random matrices, random graphs.

### Study organization

Une première période de « socle » de 4 semaines pour faire une remise à niveau en mathématiques et en informatique. Suivi d’un tronc commun de 10 semaines avec 3 UE composée chacune de deux cours. Une seconde période avec deux options de spécialisation à choisir parmi quatre propositions. Un stage de recherche ou en entreprise de 4 mois minimum.

### Modalité d'admission en FC :

Sur avis de la commission pédagogique

### Modalité d'admission en FI :

Sur avis de la commission pédagogique

### Modalité d'admission en Alternance :

Pas d'alternance

### Options

Options may change every year, except « data science ».

Data science: AI, machine learning, applications and use of related softwares

Algebraic combinatorics and computer algebra: operads, Hopf algebra.

Large random matrices and applications: theory and applications to signal processing and statistical testing.

Random graphs and graphons: theory of large dense graphs and applications.

### International

Some students benefit from Bezout grants and come from all around the word. English speaking student are welcome.

### Major thematics of Research

This speciality of M2 was created as a natural continuation of the successful Labex Bezout. It therefore benefits from a stimulating research environment, developed by the three excellent laboratories in mathematics and computer science of the « cité Descartes »: CERMICS, LAMA and LIGM.

### Partenariats :

CERMICS

### Co-accréditation :

UPEC