Probability and statistics

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Program Overview

Introduction

Master's in "Probability and Statistics" is a comprehensive course that enables students to design and conduct quantitative studies in a variety of fields, such as economics, physics, finance, biology, and others, and to conduct in-depth research (as part of a doctorate) on practical or theoretical topics in probability and statistics. This training provides students with the theoretical knowledge and mastery of various quantitative and computational techniques that will enable them to solve mathematical problems using probability and statistical methods.

Training Location:

Faculty: Exact Sciences and Computer Science.

Department: Mathematics

Qualification Decision Reference: Decision No. 1357 dated August 9, 2016.


Partners from other academic institutions:


Mohamed Cherif Messaadia University, Souk Ahras, annex to an agreement with the Qatari company to establish a digital platform, the National Higher School of Biotechnology, Constantine, the Biotechnology Research Center, the National Academy for Security and Prevention, the National Center for Studies and Information for the Family, Women, and Children, the RAM Jijel Studies Center, etc.


Institutions and social and economic partners:

Port of Djen-Djen, Jijel Municipality, Jijel University Services, Public Employment Inspectorate, Directorate of Tourism and Crafts, Regional Budget Directorate of Setif, Environment Directorate, Trade Directorate, Youth and Sports Directorate of Jijel, Algerian-Qatari Company and the Local Employment Agency, GACU-ALGER, GACU and the Algerian-Qatari Company, Jijel Judicial Council, Tebessa Phosphate Mines Company, Jijel Court, three annexes to the Algerian Group Agreement with the Algerian-Qatari Company, Sonatrach, and the National Telecommunications Company,...


International Partners:

Zarqa University, Hashemite Kingdom of Jordan; Sultan Mehmet Fatih University, Istanbul, Turkey; University of Mulhouse, France; École Normale Supérieure de Chemistry, LILLE; University of Montreal, Canada; and the Centre for Research and Technology, Borj Cedria, Tunisia.


Teaching Language : Frensh- English- Arabic

Curriculum Highlights

Core Courses

This training program is a theoretical and applied gateway to the field of probability and statistics. Students complete two years of training in the Master's program, divided into four semesters, as shown in the following program:

First semester:

Core units:

  • Mathematical non-parametric statistics
  • Bayesian statistics
  • Reliability and queues
  • Random process and martingale

Methodological unit:

  • Measure and integration
  • Functional analysis

Exploratory unit:

  • Scientific English
  • Introduction to the R language

Second Semester


Core Modules


  • Multidimensional Data Analysis
  • Linear Models
  • Copulas Theory and Extreme Values
  • Stochastic Computation


Methodology Module


  • Hilber Spaces and Fourier Series
  • Distributions


Exploratory Module


  • Scientific English
  • Writing in LaTeX


Third Semester


Core Modules


  • Time Series
  • Introduction to Econometrics for Panel Data
  • Experimental Design
  • Survival Analysis


Methodology Module


  • Processing Random Signals
  • Statistical Applications Using R


Exploratory Module


  • Research Memo Methodology
  • Labor Legislation and Anti-Corruption


Fourth Semester


  • Final Dissertation

Advanced Topics

The Master's in Probability and Statistics offers comprehensive, effective, and efficient training in mathematical statistics and applied probability. It aims to train future statisticians and doctoral students in the field of statistics and applied probability. It will enable students to:

1. Be able to design and use statistical models that respond to different situations and fields according to the needs of a specific organization.

2. Master linear and nonlinear regression models, dynamic models, and stochastic models.

3. Perform forecasting and simulation.

4. Master computer tools and their use in statistical programming.

5. Use R, SPSS, and Latex programs.

Admissions Information

To apply for this Master's program, you must have:


A Bachelor's degree in Academic Mathematics or Applied Mathematics (B.A.) - Classical Bachelor's degree in Mathematics - Postgraduate Diploma in Mathematics (DES) - Engineer in Statistics


Or the equivalent of these degrees in other countries.


The candidate's application must be reviewed by the teaching team.

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