Master of Science in Operations Research, Combinatorics and Optimization

The Master Program in Operations Research, Combinatorics and Optimization is one of the possible specializations for the second year of the Master of Science in Computer Science (semesters 3 and 4). The courses are taught in English.

Modeling and optimizing complex systems play a major role in addressing current social and economic challenges such as integration of sustainable issues in organizations and industrial systems, efficiency and viability of territorial organizations, competitiveness and innovation of companies, etc. As a result, Operations Research, Combinatorics and Optimization are very active areas of research both in R&D labs and in the academic world. In Grenoble, in particular, several teams of researchers from UGA, Grenoble INP, CNRS and INRIA are recognized worldwide for their work in these fields. The methods and tools of the field range from Applied Mathematics to Computer Science and skills in these areas are required to develop advanced solutions. This master program offers a high level training on methods and tools in Operations Research, Combinatorics and Optimization for data driven decision making. It aims at preparing students to actively contribute to the development of the field, both in academia and in industry.

Scientific Objectives

  • Study of advanced and efficient methods and tools of Operations Research, Combinatorics and Optimization (Mathematical Programming, Graph Theory, Complexity Theory, Stochastic Programming, Heuristics, Approximation Algorithms, Robust Optimization, etc.)
  • Emphasis on the use of these methods to implement efficient solution techniques for complex industrial applications (in supply chain management, scheduling, transport, etc.)
  • Preparation for research positions (in industry and academia)

Professional objectives At the end of the program, the students should be able to pursue a career in research (academic or industrial PhD), or to join major research and development departments or consulting companies in optimization. They might also build upon their ability to analyze operational problems methodologically to join less specialized companies and act as key actors in performance management: either by interfacing with consulting firms or by developing in-house solutions. In the long run, students who are moving towards industrial careers, strengthened by their experience, and with their highly requested skills, should naturally reach decision-making positions with a high level of responsibility.

Contact: orco@ensimag.fr

The welcome pedagogical session will be on Tuesday 19 september 2023 at 9:45 in room F321 in the UFR IM2AG building.

Presentation slides (23-24)

Last modified on September 22, 2023, at 06:32 AM