Operational research and discrete mathematics

Explore the programs and courses offered by Operational research and discrete mathematics

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Program Overview

Training in the field of applied mathematics takes place in a context where the use of operational research methods and combinatorial techniques has become increasingly necessary to solve complex problems in various areas such as logistics, operations planning, network design, and many others. These two disciplines provide powerful mathematical tools to model, analyze, and solve a wide range of applied problems.

Technological advancements and the growing demand across different economic and industrial sectors require innovative and efficient solutions, which reinforces the importance of research in these fields.

The topics covered in this course are part of a scientific research framework aimed at proposing new approaches to solving problems in graph theory and combinatorics.

Teaching Language : English, French

Curriculum Highlights

Core Courses

  • Linear and Nonlinear Optimization
  • Advanced Graph Theory
  • Dynamic Programming and Multi-Criteria Analysis
  • Combinatorial Optimization
  • Enumerative Combinatorics
  • Stochastic Methods in Optimization

Advanced Topics

  • Study of recent concepts related to coloring problems in graphs
  • Study of the concept of domination in graphs and its applications
  • Study of partitioning problems in graphs


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Admissions Information

  • A Master’s degree in Operational Research or an equivalent qualification in Applied Mathematics
  • Proficiency in one of the following languages: English or French
  • Submission of a research proposal aligned with the program’s objectives and research areas
  • A detailed curriculum vitae (CV)
  • Two letters of recommendation written by academic instructors or research supervisors
  • A motivation letter outlining academic goals and research interests
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