Master in Data and Artificial intelligence

National master’s degree pending

Transdisciplinary master’s degree

For whom ?

Students with a bachelor’s degree in the following fields: economics, management, marketing, law, information technology.
FOR PEOPLE WHO DON’T KNOW HOW TO PROGRAM!

 

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Why choose this master ?

  • Acquire genuine expertise in terms of data management and exploitation
  • Receive training from experienced industry professionals and teachers/researchers
  • Work on real case studies proposed by our partner companies
  • Follow a training programme based largely on soft skills

advantages

  • A 2-year apprenticeship: the company funds the studies and the student is an employee.
  • Innovative pedagogical methods and tools, with a strong focus on developing soft skills.
  • Emphasis on developing key competencies such as agility, innovation, autonomy, and thinking outside the box.
  • A broad network of companies ranging from startups to large enterprises, including SMEs.
  • Many courses delivered in English.

program

The subjects and credits presented in this program are subject to change without compromising the essential content and direction of the training.

Master 1

En alternance de septembre à mai. Le lundi et mardi en cours + du mercredi au vendredi en entreprise.
En entreprise de juin à mi-septembre.

 

SEMESTRE 1
Gestion de projet Agile
Programming with Python
Utilisation avancée des tableurs
Decisional dashboards and dataviz
Bases de la data science
Linux Shell Bash
Business Database
Droit du numérique et des données
Introduction à la méthode de recherche 1
Anglais
Soft skills
SEMESTRE 2
Customer analytics
Machine Learning 1
Social network analysis
Natural language processing 1
Acquisition et Nettoyage des données
Mathématiques pour la business intelligence
Anglais
Soft skills
Introduction à la méthode de recherche 1
Evaluation de la période en entreprise

Master 2

En alternance de septembre à mai. Le lundi et mardi en cours + du mercredi au vendredi en entreprise.
En entreprise de juin à mi-septembre.

 

SEMESTRE 1
Innovation management
Natural Language Processing 2
Machine learning 2
Operation analytics
Digital marketing
Big Data 1
Predictive analytics and timeseries forecasting
Introduction à la méthode de recherche 2
Anglais
Soft skills
SEMESTRE 2
Advanced topics
Deep learning
Robotique : introduction à ROS
Apprentissage par renforcement
People analytics
Ethique
API & cloud for data business
Big Data 2
Anglais
Soft skills
Introduction à la méthodologie de recherche 2
Evaluation de la période en entreprise

success rate

92% working immediately after 6 month after this master

CAREER OPPORTUNITIES BEYOND YOUR MASTER DEGREE

  • Chief Data Officer
  • Business Intelligence Manager
  • Data Analyst
  • Machine Learning Engineer

pedagogical coordinator
Faiza AJMI
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