Skip to main content

Master's degree Mathematics of Finance and Data

Macaron diplôme national de Master contrôlé par l'Etat
Bac+1
Bac+2
Bac+3
Bac+4
Bac+5
M1
M2
Field(s)
Sciences and engineering
Degree
Master's degree  
Mention
Mathematics and applications  
Program
Mathematics of Finance and Data  
How to apply
Initial training, Recognition of prior learning  
Course venue
Campus Marne la Vallée - Champs sur Marne, Bâtiment Copernic
Capacities
30  
Training from

Entry requirements

M2 is for students who have successfully completed a first year of a Master's in Pure or Applied Mathematics or in Mathematics-Computer Science or who can prove they have an equivalent level, as well as Grande Ecole students.

 

Applications are examined by a committee.

Benefits of the program

Affiliated with top-level research laboratories (LAMA, CERMICS, LIGM) and the Bézout Labex

 

Attractiveness, clarity and career opportunities for the four programmes in partnership with ENPC.

 

Regional coherence (Paris East) of the training. Work-study programme and sessions with professional partners.

Acquired skills

On completion of the Master's programme, graduates will be able to:

 

- Master mathematical tools, whether differential, probabilistic, statistical or numerical, and adapt to their development and increasing complexity.

 

- Design and apply theoretical knowledge to respond in the most appropriate way to real and concrete problems in their area of expertise.

 

- Model random events.

 

- Recommend balanced solutions.

 

- Search for and use documentary resources optimally in order to explore new subjects or be able to innovate in subjects arising from everyday problems.

International

The international attractiveness of the Master's programme is demonstrated by the constant flow of scholarship students from the “Bézout” excellence pathway, which sets our programme apart from identical or similar programmes in France.

Capacities

30

Course venue

Campus Marne la Vallée - Champs sur Marne, Bâtiment Copernic

Your future career

The “Mathematics and Applications” Master's degree trains high-level mathematicians who wish to go into teaching or research in academia or industry, or for careers in market finance. Financial market modelling requires sophisticated mathematical tools.

Professional integration

Activity sectors and types of positions accessible to holders of this diploma, Master's degree or certificate:

 

- Teaching - research in an academic or industrial environment

 

- Research bodies and centres

 

- Engineering - Mathematical R&D

 

- Transport industries (aerospace, aeronautics, naval, automotive, etc.) - Energy industries (nuclear, solar, wind, oil, etc.)

 

- Banking, Finance, Insurance ... market research, trading

 

- Computer Science

 

- Telecommunications

 

- Teacher and researcher

 

- Research engineer

 

- Statistical and economic researcher

 

- Actuarial researcher

 

- Actuarial researcher, asset/liability management - Actuary

 

- Broker (trader)

Study objectives

The aim of the Master's programme is twofold:

 

- Develop theoretical and practical concepts enabling students to specialise in banking, insurance, certain industrial sectors and service companies.

 

- Prepare students for teaching and fundamental or industrial research.

Major thematics of study

Mathematics and Computer Science

Calendar

The second-year Master’s is divided into two semesters. It is run jointly by the Université Gustave Eiffel and the UPEC, and all courses take place at the Université Gustave Eiffel. The work placement is carried out in the second semester.

Semester 3

CoursesECTSCMTDTP
UE OBLIGATOIRES : TRONC COMMUN FINANCE 21
Calcul stochastique

Presentation of stochastic processes in continuous time and their main properties

 

Teaching language

FRANÇAIS / FRENCH

630h
Arbitrage, volatilité et gestion de portefeuille

Quantitative methods for pricing, hedging and optimal investing in financial markets

 

Teaching language

FRANÇAIS / FRENCH

630h
Méthodes de Monte Carlo et algorithmes stochastiques

Presentation of stochastic algorithms for optimization and approximation of financial processes

 

Teaching language

FRANÇAIS / FRENCH

638h
Semaine ouverture finance quantitative

Practitioners’ seminar on current hype quantitative finance topics

 

Teaching language

FRANÇAIS / FRENCH

Introduction au C++

Main coding aspects of C++ software programming language for financial applications

 

Teaching language

FRANÇAIS / FRENCH

320h
MATHEMATIQUES FINANCIERES APPROFONDIES 3 COURS A 6 ECTS A VALIDER PARMI LES UE PROPOSEES AU S3 ET AU S4 30
Architecture big data

Practical implementation on softwares for large databases and distributed computing

 

Teaching language

FRANÇAIS / FRENCH

630h
Risque de crédit risque de défaut

Risk management and default modeling for credit risk

 

Teaching language

FRANÇAIS / FRENCH

624h
Mesure de risque en finance

Main risk measures and financial risk management

 

Teaching language

FRANÇAIS / FRENCH

624h
Apprentissage statistique et applications

Machine learning and deep learning algorithms for practical and in particular financial applications

 

Teaching language

FRANÇAIS / FRENCH

638h
Méthodes de discrétisation de gradient pour des applications en modélisation stochastique et financière

???

 

Teaching language

FRANÇAIS / FRENCH

630h

Semester 4

CoursesECTSCMTDTP
UE OBLIGATOIRES : TRONC COMMUN FINANCE 21
Modèles de taux d'intérêt

Interest rate modeling and calibration

 

Teaching language

FRANÇAIS / FRENCH

630h
Stage

 

Teaching language

FRANÇAIS / FRENCH

15
MATHEMATIQUES FINANCIERES APPROFONDIES 3 COURS A 6 ECTS A VALIDER PARMI LES UE PROPOSEES AU S3 ET AU S4 24
Données hautes fréquences en finance

High frequency trading and modeling of the impact and liquidity of order books.

 

Teaching language

FRANÇAIS / FRENCH

626h
Modèles de volatilité

 

Teaching language

FRANÇAIS / FRENCH

624h
Méthodes numériques et produits structures en actuariat

Determinist numerical methods for financil risk pricing and actuarial applications.

 

Teaching language

FRANÇAIS / FRENCH

624h
Introduction au calcul de Malliavin et applications numériques en finance

Malliavin differential calculus and applications to hedging and non linear pricing methods

 

Teaching language

FRANÇAIS / FRENCH

624h

BALLY Vlad (M2)

Academic coordinator

Marie-Monique RIBON (M2)

Academic secretary
Phone number : 0160957532
Office : 2B183
Partners

Le Master a trois partenaires académiques : l’UPEM et l’UPEC (via le LAMA, Laboratoire d’Analyse et de Mathématiques Appliquées UMR CNRS 8050 et LIGM pour le parcours Bézout) et l’ENPC (via le CERMICS Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique, pour le parcours finance).