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Mathematical Engineering Specialization (M2) – (M.Sc.)
Université Pierre et Marie Curie (UPMC)
Mathematics and Applications| Application Deadline: | June 30 | ||
| Location: | Paris / France / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | ||
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| Languages: | French | ||
Location of Université Pierre et Marie Curie (UPMC)
This major is an advanced course in pure or applied mathematics, which leads directly to various professions in research or industrial. The M1 is also a necessary step towards the agrégation (civil service competitive examination for higher education teaching staff).
The major covers the essentials of the mathematics field, with a wide choice of papers in M1 and an in-depth specialization in M2 chosen from the 6 options offered.
Pure mathematics is strongly represented, but there is also a choice of specializations in applied mathematics: statistics, probabilities, numerical analysis, game theory, mathematics-biology, mathematics-computer science and engineering. These specializations accept a large number of students.The aim of this specialization is to train advanced applied mathematicians with, in addition to a solid knowledge of mathematics, a true mastery of IT. Graduates of this degree find work in production or services companies.
Competence
Understanding and mastery of advanced mathematical tools and methods.
Opportunities
Career opportunities are to be found principally with companies, in either research and development or in production. Graduates are qualified for any of the mathematical applications, as the entire field of applied mathematics is covered in the course (numerical analysis, scientific and mechanical calculations, probabilities and statistics, mathematical finance).
Contents
The specialization is divided into 2 programs (themes) :
* Mathematics in the company:
this program trains mathematical engineers capable of modeling various phenomena and of developing and understanding new methods of computer simulation.
* Financial engineering and random models:
this course teaches the evaluation and quantitative management of random risks, both in terms of stochastic analysis and of statistical and numerical processing. The main employment opportunities are in banks, insurance companies and computer services companies.
Requirements
Students who have completed their M1 majoring in mathematics, with basic training in applied mathematics.
Admissions
Solid mathematics background, with at least initial training in applied mathematics. Practical knowledge of basic IT tools (notably programming language) is required.
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