Master in Mathematics and applications
Operations Research, combinatorics and optimization (ORCO)
Presentation and goals
Semester 9 corresponds to the specialization training and semester 10 consists of a practicum in a company or laboratory of 5 to 7 months, which represents 30 European Credit Transfer and Accumulation System credits. The master in Operations research, combinatorics and optimization is one of the possible specializations for the second year of the master of science in Computer science. The courses are taught in English.
The scientific objectives are :
- To train students in the foundations and methods of operational research (mathematical programming, graph theory, complexity, stochastic programming, heuristics, approximation algorithms...)
- To prepare students to use and develop these methods to solve complex industrial applications (supply chain, scheduling, transport, revenue management, etc.) and implement the corresponding software solutions
Students leaving this course equipped to, according to their preferences, move towards the research professions (academic or industrial thesis), enter, as a specialist engineer, major research and development departments in optimization (SNCF, IBM, Air France, Amadeus etc) or enter optimization consulting firms (Eurodécision, Artelys...). They will also be able to enter less specialized companies by highlighting their ability to methodologically analyse operational problems, thus demonstrating that they are potential key elements in the improvement of the company's performance (by linking up with specialized firms or developing in-house methods).
In the longer term, students who are oriented towards the industrial world should be able, with their experience in improving company performance and good "business" knowledge, to naturally access decision-making positions at high levels of responsibility.
The course is labelled "Core AI" by MIAI.
Presentation
Presentation
Further information
This course is also interesting for students with a general engineering degree (e.g. central schools) and wishing to acquire a complementary skill in optimization. It also hosts students from the first year of master's in Computer science and Mathematics and applications and students in the last year of Grenoble National Polytechnical Institute or Polytech. The latter undertake this program in place of their last year.
International dimension :
Internationally-oriented programmesInternationally oriented training
Programme
Programme
Program under construction - awaiting CFVU vote
Master applied mathematics 1st year
- Semester 7
- UE English 3 ECTS credits
- UE Signal and image processing 6 ECTS credits
- UE Geometric modelling 6 ECTS credits
- UE Applied probability and statistics 6 ECTS credits
- UE Systèmes dynamiques 3 ECTS credits
- UE Instability and Turbulences 3 ECTS credits
- UE Turbulence 3 ECTS credits
- UE Computing science for big data and HPC 6 ECTS credits
- HPC
- Introduction to database 3 ECTS credits
2 option(s) to choose from 2
- UE Operations Research (AM) 6 ECTS credits
- UE Operations Research 3 ECTS credits
- Operations Research Complementary
- UE Operations Research 3 ECTS credits
- UE 3D graphics 3 ECTS credits
- 3D Graphics Complementary
- UE 3D graphics 3 ECTS credits
Master applied mathematics 1 st year Graduate School program
- Semester 7
- UE Applied probability and statistics 6 ECTS credits
- UE English 3 ECTS credits
- UE Signal and image processing 6 ECTS credits
- UE Geometric modelling 6 ECTS credits
- UE Computing science for big data and HPC 6 ECTS credits
- HPC
- Introduction to database 3 ECTS credits
1 option(s) to choose from 1
- UE Operations Research (AM) 6 ECTS credits
- UE Operations Research 3 ECTS credits
- Operations Research Complementary
- UE Operations Research 3 ECTS credits
- UE 3D graphics 3 ECTS credits
- 3D Graphics Complementary
- UE 3D graphics 3 ECTS credits
Master in general mathematics 1st year
- Semester 7
- UE Probabilities 9 ECTS credits
- UE Analysis 9 ECTS credits
- UE Algebra 9 ECTS credits
- UE Holomorphic functions 6 ECTS credits
- UE Study and research work 6 ECTS credits
3 option(s) to choose from 3
- UE Effective algebra and cryptographie 6 ECTS credits
- UE Compléments sur les EDP 6 ECTS credits
- UE Markov process 6 ECTS credits
- UE Galois theory 6 ECTS credits
- UE Operations Research (AM) 6 ECTS credits
- UE Operations Research 3 ECTS credits
- Operations Research Complementary
- UE Operations Research 3 ECTS credits
- UE Differential geometry 6 ECTS credits
1 option(s) to choose from 1
- UE Opening UE (only if C1 level in English reached) 3 ECTS credits
- UE English S8 3 ECTS credits
Master 2nd year
- Semester 9
- UE Combinatorial optimization and graph theory 6 ECTS credits
- UE Advanced models and methods in operations research 6 ECTS credits
- UE Optimization under uncertainty 6 ECTS credits
- UE Constraint Programming, applications in scheduling 3 ECTS credits
- UE Advanced mathematical programming methods 3 ECTS credits
- UE Transport Logistics and Operations Research 6 ECTS credits
- UE Advanced parallel system 6 ECTS credits
- UE Fundamentals of Data Processing and Distributed Knowledge 6 ECTS credits
- UE Scientific Methodology, Regulatory and ethical data usage 6 ECTS credits
- UE Large scale Data Management and Distributed Systems 6 ECTS credits
- UE From Basic Machine Learning models to Advanced Kernel Learning 6 ECTS credits
- UE Mathematical Foundations of Machine Learning 3 ECTS credits
- UE Learning, Probabilities and Causality 6 ECTS credits
- UE Statistical learning: from parametric to nonparametric models 6 ECTS credits
- UE Mathematical optimization 6 ECTS credits
- UE Safety Critical Systems: from design to verification 6 ECTS credits
- UE Natural Language Processing & Information Retrieval 6 ECTS credits
- UE Information Security 6 ECTS credits
- UE Human Computer Interaction 6 ECTS credits
- UE Next Generation Software Development 6 ECTS credits
- UE Graphs and discrete structures 3 ECTS credits
- UE Advanced heuristic and approximation algorithms 3 ECTS credits
- UE Academic and industrial challenges 3 ECTS credits
- UE Multi-agent systems 3 ECTS credits
- UE Cryptographic engineering, protocols and security models, data privacy, coding and applications 6 ECTS credits
- UE Practicum 30 ECTS credits
Master 2nd Graduate School program
- Semester 9
- UE Combinatorial optimization and graph theory 6 ECTS credits
- UE GS_MSTIC_Research ethics 6 ECTS credits
- UE Advanced models and methods in operations research 6 ECTS credits
- UE Optimization under uncertainty 6 ECTS credits
- UE Constraint Programming, applications in scheduling 3 ECTS credits
- UE Advanced mathematical programming methods 3 ECTS credits
- UE Transport Logistics and Operations Research 6 ECTS credits
- UE Graphs and discrete structures 3 ECTS credits
- UE Advanced heuristic and approximation algorithms 3 ECTS credits
- UE Academic and industrial challenges 3 ECTS credits
- UE Practicum 30 ECTS credits
Practica, projects, and missions
Internship: MandatoryDuration: 5 to 7 months
In the first year of the master, a study of 39 days of immersion in a laboratory (supervised research sork) allows all students to discover the world and the work of research. A mandatory practicum or research project of 5 to 7 months is carried out in the second semester. It can be done in a research laboratory but also in the R&D department of a company. In this case, a teacher-training researcher ensures the quality of the research training provided. This research project allows good immersion in the world of research, the discovery of the research profession, and preliminary contacts for a possible thesis or employment in an R&D department.
Registration and scholarships
Registration and scholarships
Access condition
The first year master's is accessible to candidates according to their transcripts (and/or interview) :
- Proof of a national degree conferring the degree of bin a field compatible with that of the master's degree
- Or by validation of studies or acquired experience according to the conditions determined by the university or the training
The second year master's is accessible to candidates according to their transcripts (and/or interview) :
- Having validated the first year of a compatible course - or by validating studies or acquired experience according to the conditions determined by the university or the training
Public continuing education : You are in charge of continuing education :
- if you resume your studies after 2 years of interruption of studies
- or if you followed a formation under the regime formation continues one of the 2 preceding years
- or if you are an employee, job seeker, self-employed
If you do not have the diploma required to integrate the training, you can undertake a validation of personal and professional achievements (VAPP)
Candidature / Application
Do you want to apply and register? Note that the procedure differs depending on the degree considered, the degree obtained, or the place of residence for foreign students.
Find out which procedure applies to me and apply
Prerequisites
Language requirements :
-
Students are required to provide evidence of Competence in English.
English scores required for the MSIAM, programs: TOEFL IBT 78, CBT 210, Paper 547 / TOEIC 700 / Cambridge FCE / IELTS 6.0 min.
This is equivalent to CEFR level B2.If you have successfully completed a degree (or equivalent) course at a University in one of the following countries then you meet the English requirement automatically: Australia, Canada, Guyana, Ireland, New Zealand, South Africa, United Kingdom, United States of America, West Indies.
And after
And after
Further studies
This program allows students to write a thesis. Its strong industrial basis especially allows students to find industrial theses with very good conditions (CIFRE, contract...)
Candidature / Application
Do you want to apply and register? Note that the procedure differs depending on the degree considered, the degree obtained, or the place of residence for foreign students.
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Contacts
Program administration
Elise Ros
Program director
Van Dat Cung
Nadia Brauner
In brief
Discipline : Computer Science, Mathematics, Information and Communication Sciences and Technologies, EngineeringProgramme type(s) : Initial and Continuing Education
Language(s) : English
Location(s) : Grenoble - University campus
International dimension : Yes
Duration of studies : 2 years
Required entry level : Baccalaureate +3