Master 2

Mathematical Modelling


Overview


Mathematical modelling makes it possible to solve problems from various fields (physics, biology, economics, etc.), through mathematical analysis and numerical simulation of the proposed models. The specialty trains high-level researchers in applied mathematics who can pursue careers in higher education and research, participate in industry’s high-tech programs, or integrate study and decision-making headquarters of large companies. It also trains mathematicians of the engineering type who master all aspects of calculation and modern scientific computing, whose profile is of interest to industrial design offices or scientific computing service companies.

Language of instruction: French and English
ECTS: 60
Oriented: Industry and Research.
Duration: 1 year


Educational objectives


Among the knowledge and skills expected at the end of the master’s degree are the following:

Theory of partial differential equations, numerical discretization, error analysis;
Continuous and discrete optimization, variation calculation, game theory;
Theory of control in finite or infinite dimension, optimal control, inverse problems;
Analysis, simulation and modelling tools used in life sciences;
Scientific computing, scientific computing, parallel computing, computer-aided design.

Students will also have to acquire knowledge in various application fields: computer science, biology, physics, mechanics, economics…


Program structure


The year is divided into four periods as follows:

Programme overview (Program overview data science)

In the first phase, students must take at least four of the five courses offered. Each course consists of 3 hours of lectures, supplemented by 3 hours of TD per week for the two digital courses, 2 hours for the three more theoretical courses. The knowledge test procedure is based on distributed examinations. The whole counts for 12 ECTS.

Fundamental and specialized courses account for 6 ETCS each.

It is therefore necessary to follow at least 3 fundamental and 2 specialized courses.

Ratings can only be offset within the same semester.

Any student who scores less than 10 on a course may attend the second session.

PhD track: students will benefit from additional research supervision provided by IP Paris’ Teachers-Researchers.

Course Offering:
Program


Admissions


Application guidelines for a master’s program at IP Paris

Academic prerequisites

    • Completion of the 1st year of a master program (Master 1)

Application timeline

Deadlines for the Master application sessions are as follows:
– First session: February 28, 2020
– Second session: April 30, 2020
– Third Session (optional): June 30, 2020 (only if there are availabilities remaining after the 2 first sessions)
Applications not finalized for a session will automatically be carried over to the next session.

You shall receive an answer 2 months after the application deadline of the session.


Tuition fees


National Master: Official tuition fees of the Ministry of Higher Education, Research and innovation (2019-2020, EU students: 243 euros / Non-EU students: 3770 euros)


Contact


Gregoire Allaire
Email