Optimization in Operation Research Master's Degree

This programme is the second year specialty of Nantes Université's Master's degree in Computer Science, specialized in the field of operations research. Read more

Plaquette A4 ORO - 2024 (PDF, 546 kB)

General information

Structure of affiliation
UFR Sciences et Techniques

Location
Nantes, France

Language requirements

The programme is taught in English. A good command of the English language is required (B2 score as defined by the Council of Europe).

Introduction

The programme deals in particular with graphs and mathematical programming (discrete, non-linear, multi-objective), constraint programming (discrete and continuous), computational intelligence and decision support. The objective of this course is to provide the necessary knowledge to specify, design, implement and integrate software solutions in the field of optimization that meet the specific needs and challenges of our society. The training is centered on the algorithmic foundations of optimization, as well as their applications to production and logistics systems, robotics and genomics.

Objectives

You will enjoy Operational Research if you like solving practical quantitative problems and seeing the solutions implemented. Graduates immediately can play an effective role in providing model-based support to managers to help them make better decisions at an operational/technical level.

By studying Operational Research you will develop a valuable combination of modelling, computing, analytical, mathematical, interpersonal and communication skills. You will be able to design and implement management interventions, employ a range of OR and systems methods and techniques, to design and implement algorithm as well their integration in decision support software, use a range of relevant software, and demonstrate your awareness of specific managerial issues.

An Operational Research MSc provides

an ideal background for a career in industry (e.g., software, consulting, production, transport, finance, telecom) and
strong foundations for an academic research.

Places

Nantes

Programme Leader(s)

Anthony PRZYBYLSKI

Our partners

Research center

Laboratory of Digital Sciences of Nantes

Institutions

This degree is co-accredited by IMT Atlantic.

In agreement with

ORO programme : Université Libre de Bruxelles (Belgium)

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Admission

Entry requirement

Academic requirement

Our students come from diverse backgrounds such as computer science, engineering, mathematics and other quantitative disciplines.

Target audience

To enter this Master's degree in 2nd year (3rd semester), applicants should hold a degree equivalent to the first year of a master (i.e. a 3-year Bachelor is not acceptable), for example a 1st year of MSc. You will need to have validated the corresponding courses (or their equivalent) of the 1st year. Applicants should be able to demonstrate their knowledge from transcripts of their degrees.
You can also enter the programme in first year (1st semester). Applicants should hold a Bachelor's degree that includes some computer science and mathematics; for example, science, engineering, statistics or economics.

IMPORTANT: the first year is entirely taught in French.

Application

Application procedure

For French students or international students already studying in France.

Selective access to Master 1:
Application procedure:

To find out when the platform opens and closes and to submit your application, go to the Master's application page.
Applications on "Mon Master", the national Masters platform.

Selective access to Master 2:

To apply: go to the Nantes University Master's application website

Additional procedure

Exchange students follow the application procedure for exchange students.
Students coming from a country using the CEF/Campus France procedure must enroll with Campus France.
Students coming from a country not using the CEF/Campus France procedure follow the non CEF-procedure.

Programme

Third Semester (30 ECTS)
(i.e. first semester of this second year of master)

Large scale optimization
Multi-objective optimization
Multi-objective MetaHeuristics
Global optimization
Global constraints
Advanced constraint programming
Optimization in robotics
Transportation and logistics
Planning and scheduling
Algorithmics in genomics

Fourth Semester (30 ECTS)
(i.e. second semester of this second year of master)

A 5 months master thesis or internship

What's next?

Competencies acquired

Description of the degree in the National Directory of Professional Certifications

Modelise and solve complex problematics
Design algorithmic solutions for a multidisciplinary context

Career opportunities

Business sectors

Computing (big data, data mining, cloud computing)
Design (mechanical, VLSI)
Logistics (port, airport, humanitarian, distribution)
Management (traffic, projet, team, energy, sport)
Transportation (urban, air, maritime, road, space)
Production (planning, timetabling, inventory control, scheduling)
Telecom
Network
Health
Bioinformatics
Robotics

Registration

Tuition fee

The cost refers to education and training costs that includes additional services such as French language classes.
A provisional budget is available on Nantes Université's website.

Mis à jour le 01 October 2024.