The Applied Mathematics and Statistics Master’s program provides a wide offering of courses in several fields of mathematical sciences and their applications to data science, finance, biological science and other related fields.
It includes a PhD Track whose purpose is to guide the students towards the doctorate (after the end of the Master).

M1 – The first year proposes a wide offering of basic and more specialized courses in applied mathematics that will allow students to build a personalized curriculum adapted to their academic and professional projects in the following areas :

  • Statistics, Finance and Actuarial science
  • Modeling, Probability, Artificial Intelligence
  • Optimization
  • Signal, Computing, Machine Learning
  • Numerical analysis and EDP

M2- The second year offers four specializations in :

  • Data Science and Artificial Intelligence
  • Statistics, Finance and Actuarial science
  • Probability and Finance
  • Mathematical modelling.

The courses allow students to acquire more in-depth knowledge, and to prepare them for a doctorate in academic or industrial research labs, or directly for a permanent job position.

Apart from funding opportunities, students from the PhD program benefit from tutoring among IP Paris’ faculty, and have access to a very wide range of courses within the master’s catalogue, as long as it is relevant to their research program. PhD students are selected on the basis of academic potential and research interest.

For instance, students in the Quantitative Finance PhD program will have access to courses from the Statistics, finance and Actuarial Science specialization as well as from the Probability and Finance specialization, but also when relevant from Data Science and Artificial Intelligence or even possibly courses from the Economics PhD program.


The Applied Mathematics and Statistics Master’s program goals are twofold :

  • to equip students with a solid foundation in applied mathematics in order to pursue doctoral studies or directly apply to the many positions available to young mathematicians in academy, business or industry ;
  • to allow students to discover, from within, research activities in applied mathematics by addressing current, open problems. This interaction with research is present throughout the curriculum in several forms: seminars, mentoring projects, internships in research labs or companies.


  • M1 Applied Mathematics « Mathématiques Appliquées »
  • M2 Data Science and Artificial Intelligence
  • M2 Statistics, Finance and Actuarial Science
  • M2 Probability and Finance
  • M2 Modelling science
  • PhD Track in Data Science and Artificial Intelligence
  • Apprenticeship program in Data Science and Artificial Intelligence
  • PhD Track in Quantitative finance
  • PhD Track in Mathematical Modelling


The wide variety of courses, seminars, projects and internships proposed during the master offers the possibility, for every student, to build his/her own curriculum in mathematical sciences. After graduation, the student can apply for PhD funding in top research labs. There are also many job opportunities available immediately in industrial research & development centers in France or abroad in related areas, such as Artificial Intelligence in internet companies, energy, in the transport industry (aeronautics, communication, signaling, etc.), or insurance, banking and pharmaceutical companies…


  • ENSAE Paris: CREST (Centre de Recherche en Economie et Statistique)
  • ENSTA Paris: UMA (Unité de Mathématiques Appliquées)
  • Télécom Paris: IDS (Image, Données, Signal)
  • Télécom SudParis: CITI (Communications, Images et Traitement de l’Information)
  • Ecole Polytechnique: CMAP (Centre de Mathématiques Appliquées)


The M2 Probability and Finance is the result of a cooperation between Sorbonne Université and IP Paris


  • Aérospatiale
  • Airbus
  • Air Liquide
  • CEA
  • Danone
  • Dassault
  • EADS
  • EDF
  • EuroDecision
  • GDF
  • General Electrics
  • Ingenico
  • Peugeot
  • Renault
  • RTE
  • Sanofi
  • Thalès
  • Véolia
  • Xerox
  • etc.


Academic Prerequisites
Bachelor in mathematics, mathematical sciences or related field.

Language prerequisites
French or English


Karim Lounici