M2 Stochastic tools and Computational Methods for Decision (MSID)

Presentation

Presentation

 

 

This program offers advanced level courses in statistical analysis, decision computer science, computer modeling and associated computer tools.

Objectives

This programme aims to provide strong skills in stochastic modeling and statistical methods for data analysis, combined with the associated computer tools.

  • Courses focus on applications in the industry, especially in the areas of quality control and safety analysis, but also on applications in data mining and machine learning.

  • Courses are taught by academics but also by engineers

Depending on the  excellency of students and their desire to pursue doctoral studies, courses about « advanced statistics » and « advanced applied probability » can be offered.

Knowledge and skills

At the end of this program, the students in "Stochastic tools and Computational Methods for Decision" will be able to:

  • Conduct an appropriate statistical analysis

  • Apply any classical statistical methods

  • Construct and analyse an experimental design

  • Suggest and analyse a stochastic model

  • Implement stochastic simulation methods

  • Manage databases

Additional information

Scholarships
International Welcome Desk

Students

20

Training content

MASTER 2 - MSID
SEMESTER 1
  • French 2 ECTS
  • Reliability theory 4 ECTS
  • Survival analysis 4 ECTS
  • Design of experiments 4 ECTS
  • Statistical process control 2 ECTS
  • Tools for engineering reliability 4 ECTS
  • Datamining 2 ECTS
  • Deep learning 2 ECTS
  • Advanced machine learning 2 ECTS
  • Data challenge 2 ECTS
  • Literature review 2 ECTS
SEMESTER 2
  • Research or applied project 10 ECTS
  • Internship 20 ECTS

Access condition

LANGUAGE REQUIREMENTS

CECRL B2 level in English,

All teaching materials will be provided both in English and French. Students are allowed to use English or French during exams.

ADMISSION REQUIREMENTS

All students who have completed four years in a higher education institution can apply.

Limited number of students: 30 per year

 

Inscription modalities

Expenses

Administrative tuition in France is determined at a national level. The French Ministerial Order of April 19, 2019, amended on June 9, 2020, sets university tuition for a Master Program as follows: European nationals: €243, extra-European nationals: €3770.

For academic year 2021-2022, the Board of Directors has extended its policy of automatically providing partial reduction of these fees at the UPPA. As a result, extra-European nationals will be granted automatic partial reductions such that they will be able to pay the same enrollment fees as European nationals.

Extra fees: 

In addition to academic tuition, most students must pay a student body fee (CVEC, which cost €92 in 2020-2021). 

NB: Admitted candidates in any course of study who have taken a break of more than two years from their studies will enroll via the UPPA’s Continuing Education service (Formation Continue / FORCO). They are exempt from the CVEC, however they may be subject to a different tuition scale.

Further studies

Doctoral studies, either in an academic context or in an industrial context 

Job opportunities

Sectors:
  • Industry, services, academic
 Fields
  • Transportation, Aeronautics,Space
  • Energy (oil, gas,nuclear renewal etc...)
  • Pharmaceutics and medecine
  • banking and insurance companies
 Positions:
  • RAMS engineer, statistical analysist, datascientist, data processing engineer, biostatistician, PhD students

Organizational unit

Person in charge

MAITRE DE CONFERENCES DES UNIVERSITES Paroissin Christian


Phone : +33 559407569

Email : christian.paroissin @ univ-pau.fr

Administrative contact(s)

Secrétariat de Mathématiques

Email : secretariat-mathematiques @ univ-pau.fr

Places

  • Pau

More info

Type of education

  • Foreign students
  • Ongoing training

Internship Mandatory (5-6 months)

Registration
From November 10, 2020 to April 19, 2021

Teaching start
September 1, 2021