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
Apply here from October to March
This program offers advanced-level courses in statistical analysis, decision computer science, computer modeling, and associated computer tools.
Objectives
This program aims to provide strong skills in stochastic modeling and statistical methods for data analysis, combined with the associated computer tools.
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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.
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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.
Your university
Skills
At the end of this program, the students in "Stochastic tools and Computational Methods for Decision" will be able to:
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Conduct an appropriate statistical analysis
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Apply any classical statistical methods
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Construct and analyze an experimental design
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Suggest and analyze a stochastic model
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Implement stochastic simulation methods
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Manage databases
Additional information
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 |
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
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.
Student capacity
And after
Further studies
Doctoral studies, either in an academic context or in an industrial context
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
