Master in Mathematics and Applications: Stochastic tools and Computational Methods for Decision

General

Program Description

This degree is delivered after 12 months.

This program offers advanced courses on statistical analysis, business intelligence, computer modeling, and associated computer tools.

This program allows continuing with doctoral studies, either in an academic context or in an industrial context (the collaboration between industry and UPPA).

Program Objectives

  • This program aims to provide strong skills in stochastic modeling and statistical methods for data analysis, jointly with the associated computer tools.
  • Courses are focusing both on applications in industry, especially in the area of quality control and safety analysis, and on applications in data mining and machine learning.
  • Courses are taught by academics but also by engineers
  • According to the excellence of students and their desire to pursue doctoral studies, courses about «advanced statistics» and «advanced applied probability» can be offered.

Master 2 - MSID

Semester 1

  • Monte Carlo methods 4 ECTS
  • Survival analysis 4 ECTS
  • Reliability theory 4 ECTS
  • Design of experiments 4 ECTS
  • Safety engineering 4 ECTS
  • Data warehouse 4 ECTS
  • Machine learning and data mining 6 ECTS
  • Advanced statistics 6 ECTS
  • Advanced applied probability 6 ECTS
  • Language: French as a Foreign Language / English as a Foreign language 2 ECTS

Semester 2

  • Data challenge 2 ECTS
  • Literature review 2 ECTS
  • Internship 5 to 6 months 26 ECTS

Student Learning Outcomes

At the end of this program, the students in MSID will be able to:

  • Conduct an appropriate statistical analysis
  • Apply any classical statistical methods
  • Construct and analyze an experimental design
  • Propose and analyze a stochastic model
  • Implement stochastic simulation methods
  • Manage databases

Prospects for employment or further study

Sectors:

  • Industry
  • Services
  • Academic

Fields:

  • Dependability and reliability analysis (RAMS)
  • Data processing,
  • Biomedicine

Positions:

  • RAMS engineer
  • Statistical analyst
  • Data scientist
  • Data processing engineer
  • Biostatistician
  • Ph.D. students

Admission Requirements

English language requirements

  • CECRL B2 level in English, or CECRL B1 level in English and CECRL B2 level in French. 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

Contact

For any supplementary information or questions related to the application:
jacques.giacomoni@univ-pau.fr

More information:
http://formation.univ-pau.fr/m-mathematics-msid

International Welcome Desk:
http://univ-pau.fr/en/welcome-desk

Last updated Dec 2019

About the School

UPPA offers its students initial or continuing education, work/study programs or apprenticeships, to obtain Bachelor’s, Master’s and vocational degrees and Doctorates through its 5 UFRs (Teaching and ... Read More

UPPA offers its students initial or continuing education, work/study programs or apprenticeships, to obtain Bachelor’s, Master’s and vocational degrees and Doctorates through its 5 UFRs (Teaching and Research units) and two Doctoral schools. Read less
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