Align with the emergence and rapid evolution of new technologies
Take advantage of the explosion in data volumes or Big Data.
Learn about recent machine learning technologies.
Handle massive data offering relevant insights
Take advantage of innovative perspectives in the digital transformation of products, services and business processes
The application of this knowledge in the fields of agriculture and finance.
The Master Courses
The courses of this master program are:
Level 1: Common Core
M1. Cloud Native AI & ML
M2. Mathematics for Data-Science
M3. Algebraic Data Analysis & Statistical Learning
M4. Machine Learning
Level 2: Finance Application
M5. Machine Learning for Retail Finance
M6. Natural Language Processing
M7. Statistical Models for Risk Management
M8. Smart Asset Liability Management ALM
Level 2: Agriculture Application
M5.Principles of Crop Production
M6.Plant Epidemiology and Plant Disease Management
M7.Introduction to Fertilizers and Soil Fertility
M8.IoT for Agriculture / SIG
Summary
Data science is a new frontier of human knowledge and a new field of discovery. Data scientists have the analytical and programming skills to extract valuable insights from data. The burgeoning technology sector is quickly becoming the epicenter of data science.
Description
The objective of this training is to prepare professionals to meet the challenges of the 21st century to achieve digital transformation. These are scientific, technical, economic and environmental challenges, the common point of which is a better management, use and exploitation of data.
Key Benefits
Become a manager capable of succeeding in a digital transformation at the company level.
Who Should Attend
BAC + 5
Having a basic knowledge of computer science (Python in particular)
Very good command of the tools of the engineering profession
A refresher course in Python programming, will be offered to students who do not have the required
