School of Digital Engineering and Artificial Intelligence (EIDIA)

Recognized by an Engineering diploma, Big Data Analytics training offers cutting-edge training in Data Science. The “Data Science” field marks the start of a major transformation, which will profoundly affect many sectors. This situation contrasts with the large deficit of "Data Scientists", "Data Analysts" or "Big Data Developers" currently existing throughout the world.  

Exploiting large masses of data involves sophisticated mathematical techniques aimed at extracting relevant information. This transition from data to knowledge, which brings many challenges, requires an interdisciplinary approach, relying heavily on the statistical processing of information, on a wide range of mathematical, numerical and learning statistics methods and on the mastery of mechanisms. distribution of data and calculations on a very large scale.  

The applications are numerous: from marketing to public policy, including fraud detection and risk management. Big Data science today has a significant impact in academic research and in the business world. For example, it has led to major advances in the human-machine interface (automatic translation, speech recognition, etc.), the Internet (search machines, online advertising management, etc.), the digital economy ( marketing, fraud detection, speculation in finance, etc.), but also in health sciences and the human and social sciences.

The opening of this training at the UEMF is in line with the desire of the Moroccan Ministry of Higher Education to develop training in Moroccan universities, to promote scientific research in the field and to associate with world leaders. of the sector to allow Moroccan universities to benefit from the tools and the latest technological developments in Big Data.

School of Digital Engineering and Artificial Intelligence (EIDIA)

• Mastery of Big Data Processing Platforms
• Acquiring Data from Various Sources and Types
• Data Manipulation and Preparation for Analysis
• Use of Social Network Data 
• Descriptive and Predictive Data Analysis
• Dashboard Visualization and Design
• Develop Applications Linked to Big Data Engines
• Master the legal, ethical and social aspects and anonymization

1- Selection procedures:

Access to first year:

• Candidates who have completed the two preparatory years for the engineering cycle.
• Candidates who have passed the common national competitive examination for admission to engineering training establishments and similar establishments.
• Holders of the following diplomas: DEUG, DUT, DEUST, DEUP, License or equivalent recognized by the State.

Access to Second year:

• Holders of a recognized and accredited license or equivalent.

2- Selection procedures:

• Joint national competition
• Competition specific to the host establishment:
• Study of the file
• Written exam
• Interview

• High Performance Computing Center.
• Multimedia Room with Interactive Boards.
• Laboratory of Connected Objects, Sensors, Robots…
• Virtual Reality Room

• Data Scientist
• Data Engineer
• Big Data Architect/Developer