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Mathemathetics for Modeling Specialization (M2)

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  • 9 Science and Technology Bachelor's Degrees
  • 11 Master's Programmes with
    70 Specialisations
  • 1 Master of Engineering Program
    (5 years)
  • 28 International Programs 

Mathemathetics for Modeling Specialization (M2)

This specialization qualifies

- researchers in applied mathematics, likely to lead careers in higher education or research or to participate in industrial advanced technology programs

- high level mathematical engineers who master all aspects of modern scientific calculation and scientific IT.

Mathematical modeling can solve a wide variety of problems, in the fields both of research and industry, via the mathematical analysis of models and via computer simulation.

Competence

Understanding and mastery of advanced mathematical tools and methods. 

Keywords

mathematics, numerical analysis, optimization and games, computer science

Opportunities

This degree leads to two main career paths:

  • a career in industry, either with industrial research centers (CEA, EDF, etc.) or as a senior engineer.
  • a career as an academic

Organization
  • Numerical analysis:
    provides the mathematical basis of deterministic modeling and scientific computing. The main themes are PDEs, discretization and errors, scientific computing, imaging applications, physics, mechanics, finance.
  • Optimization and games:
    covers the main techniques of optimization in the wider sense of the term – convex and nonsmooth analysis, continuous optimization, discrete graphs and optimization, game theory – and presents the applications of economic modeling.
  • Mathematics and computer science:
    a program shared with the computer science major, which covers the fields of scientific IT in relation to scientific computing, CAD, combinatorics and cryptography (this program includes papers from the STL specialization of the computer science major).
  • Mathematics and biology:
    concentrates on the mathematical techniques which enable a large number of problems of a biological nature to be modeled: analysis and simulation of biological phenomena using PDE, numerical analysis, imaging and probabilities techniques.

     
Well-targeted public

Students having completed their M1, or engineering school students with a strong base in mathematics, hoping to follow a university career in the fields of the specialization or a career in research engineering. 

Admissions

Thorough knowledge of mathematics is required, advanced notions of analysis and numerical analysis in particular, plus combinatorics for program 2 and probabilities for program 4. 

Coordinates
Coordinates
Person responsible
 

Administrative coordinator
Besseddik Faouzia 

faouzia.besseddik@upmc.fr
Address
Maison de la pédagogie, porte C110
4 place Jussieu 75005 Paris

phone number 01 44 27 37 56

e-mail address : master.math@upmc.fr

More information

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07/06/10