ECTS
60 credits
Duration
1 year
Training structure
Faculty of Science
Language(s) of instruction
French
Presentation
Companies' expectations in terms of decision support and database analysis are becoming increasingly important, and proficiency in statistical tools for data management is essential. The objectives of this master's degree are to train students in both mathematics and management skills to prepare them for careers as data scientists capable of managing and analyzing data, particularly in a big data environment.
This master's degree is offered to students with a bachelor's degree in Applied Mathematics (
) who wish to continue their studies at the master's level. The IAE master's degree (
) is associated with the master's degree from the Faculty of Sciences of Montpellier, with a major in Mathematics (
) and a specialization in Mathematics for Information and Decision Making (MIND).
This dual qualification is recognized by a Double Master's Degree 1&2*.
*Double administrative and academic enrollment.
Objectives
We offer a dual-skill master's degree in STATISTICS & MANAGEMENT with the aim of training science students who have studied applied mathematics in management and decision-making issues.
Know-how and skills
Based on their initial expertise, SIAD Master's students develop skills in the following areas:
►Management and analysis of statistical data
►Information and knowledge extraction
►Mastery of decision-making tools and techniques
►Project management in a risky environment
►Conducting market research and forecasting...
Program
Master 1: two semesters of classes and tutorials followed by a project.

Admission
Registration procedures
Application based on resume and possible interview.
Online file on the IAE Montpellier website.
Target audience
This master's degree is offered to students with a bachelor's degree in applied mathematics who wish to continue their education at the master's level.
And after
Continuing education
Students have the option of continuing their studies with a doctorate in management sciences.
Professional integration
►Corporate statistician
►Data miner, data manager
►Statistical and marketing research officer
►Customer Relationship Manager
►Financial risk manager
►Responsible for risk management and control
►Preparation for civil service examinations (INSEE)