the innovative training of the IA School

Artificial intelligence represents the future. This is confirmed day by day thanks to technological advances which are more and more innovative. This field provides access to incredible opportunities, as well as competitive and highly sought-after job offers.

The AI ​​School’s Master’s in Artificial Intelligence

Training in artificial intelligence allows learners to access two equally captivating specializations: Data Analyst and Data Scientist.

By registering, you will have access to theoretical and practical sessions for two years. A highly qualified pedagogical team will ensure the best possible learning program.

With the two teaching methods, that is to say face-to-face and distance learning, you will no longer have to worry about the distance separating you from the institute or the impossibility of presenting yourself at the establishment. in case that you can not.

Moreover, the direct application of new knowledge will allow you to gain the necessary experience in order to better anchor this knowledge thanks to the various collaborators of this training in AI.

The Data Analyst master’s degree

This program split into two years will initially allow you to get up to speed and to dive into analytical AI. Finally, you will have the opportunity to put your math, programming and computer skills into practice in order to specialize in these trades.

During Master 1, you will learn to collect, sort and analyze data basics using a computer language in order to make good use of them. You will also be able to build different types of virtual files that will go into an efficient database that you will be able to summarize later to use it better.

At the end of this first year, you will have a perfect command of these elements so that you can move on to the second stage.

The Master 2 Data Analyst will allow you to continue your momentum and improve your skills in the field of data meta-analysis. You will easily be able to use Python which helps in collecting, translating, extracting and converting data into tables or diagrams in order to better understand them.

So you will be a a real asset to any business seeking to understand and map these parameters.

The Data Scientist master’s degree

The Data Scientist master’s degree is designed for students who focus their career on predictive component of AI. During the first year, the program resembles that of the Master 2 Data Analyst.

The second year, meanwhile, focuses on putting the skills developed into practice. You can thus build a dashboard which summarizes the different data available, program a website or an app, find a suitable algorithm who will be able to solve a defined problem and optimize it in terms of performance, deep learning, etc.

A drastic selection

Nevertheless, it should not be forgotten that if the opportunities for AI are interesting, the admission conditions remain quite selective.

To hope to apply for one of these two masters, you must hold the respective master 1 of each specialization.

A bac+3 is the bea-ba for the specialization in data analysis, but the training courses accepted are diverse and varied. However, there may be a situation where the student will be redirected to a lower level in order toacquire the pedagogical skills necessary for masters in AI.

As for the Data Scientist training, you need a degree in mathematics, engineering, computer science or statistics.

Opportunities for AI

The AI ​​professions (and especially the Data Scientist) are part of the best jobs out there. They are highly sought after and highly paid.

As its name suggests, data science consists of processing masses of data in order to extract information relevant to the company.

Data analysis, on the other hand, makes it possible to exploit the available data to improve the state of the business concerned. However, your work will begin with reliably collecting this information and organizing it in a way that makes it actionable.

Whether it’s a large multinational or a small start-up, every business requires experts in data analysis and processing.

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