M2 Stochastic tools and Computational Methods for Decision (MSID)

Science, Technology, Health

M2 Stochastic tools and Computational Methods for Decision (MSID)

  • ECTS

    60 credits

  • Duration

    1 year

  • Component

    Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)

  • Language(s)

    English

Presentation

Objectives

This program 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.

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Your university

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 analyze an experimental design

  • Suggest and analyze a stochastic model

  • Implement stochastic simulation methods

  • Manage databases

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Additional information

Scholarships

 

The International Master Programs Admission Office


master.programs @ univ-pau.fr

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Organisation

MASTER 2  Stochastic tools and Computational Methods for Decision (MSID)

SEMESTER 1

Course Title

ECTS

Reliability theory

 4

UE Survival analysis

 4

UE Datamining

2

Advanced machine learning

2

Mathematical Engineering of deep learning

6

Tools for RAMS

4

French or English as a Foreign Language B2/C1

2

ELECTIVES

6

Design of experiments

4

Statistical process control

2

Monte Carlo methods

4

Data Challenge

2

SEMESTER 2

Integrator project

10

Internship from 5 to 6 months

 10

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Trainings

Intership

Mandatory

Intership duration

5-6 months

Admission

Admission requirements

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.

A limited number of students: 30 per year

The International Master Programs Admission Office

master.programs @ univ-pau.fr

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How to apply

Tuition Fees and partial exemptions

Go to the Tuition fee page

The school partially exempts non-EU students from the differentiated fees for initial training enrolling in the Master's program.

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Student capacity

And after

Further studies

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

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Professional insertion

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 analysis, data scientist, data processing engineer, biostatistician, Ph.D. students
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By Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)

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