Machine Learning and Artificial Intelligence

Établissement

FS - Tétouan

Niveau d'étude visé

Domaine d'étude

Diplôme recherché

MPE

  • OBJECTIFS    

- Providing students with a thorough understanding of basic analysis concepts and robust techniques in advanced Machine Learning and Artificial Intelligence.
- Allowing students to develop practical skills in designing, developing, and deploying intelligent models and real-world applications based on the highly advanced content we offer in this excellent master's project on machine learning and artificial intelligence.
- Giving students the ability to apply innovative tools of machine learning and artificial intelligence to solve real-world problems in various domains such as medicine, biology, agriculture, logistics, finance, social life, and engineering in the broadest sense of the term.
- Encouraging creativity and innovation in the development of new methods and concrete models in the field of machine learning and artificial intelligence.

  • CONNAISSANCES    

- Students are trained in the use of methods, techniques, and tools of machine learning and artificial intelligence, while acquiring solid experience in mathematical algorithms and programming, in an international environment
- The knowledge gained from this training would enable students to develop and deploy data management solutions using modern data management tools. They will be able to accompany all stages of a data project, from exploratory analysis to the industrialization of AI and machine learning tools.

  • COMPETENCES    

- Exceptional mathematical skills
- Proficiency in various programming languages such as Python
- Communication skills
- Data modeling and evaluation (mastering data collection)
- Application of machine learning models and libraries

Listes des modules

Semestre 1

M111    Apprentissage automatique(enseignement en Français)
M112    Data Processing
M113     Inferential statistics
M114    Neurals Networks and applications
M115    Advanced Algorithms and Programming
M116    Intelligence artificielle et Innovation _ Enseignement en langue Arabe
M117    LANGUES ETRANGERES  (ANGLAIS)


Semestre 2

M121    Analyse des données massives (Big Data Analytics) enseignement en Français
M122    Machine learning and scientific Computing
M123    Méthodologie de la Recherche Scientifique (Scientific Research Methodology:) l'enseignement est en langue Française
M124    Culture entrepreneuriale et techniques de communication (Entrepreneurial Culture and Communication Techniques) enseignement en Français
M125    Deep learning
M126    Natural Language Processing (NLP)
M127    Computer vision 


Semestre 3

M231    Advanced models in modeling and statistics
M232    Stochastic Modeling and Reinforcement Learning
M233    Simulations et séries chronologiques (simulations and time series) :son enseignement sera en Français
M234    Advanced Machine learning Methods
M235    Advanced computer vision (ACV)
M236    Advanced Natural Language Processing (ANLP)
M237    Database for Machine Learning


Semestre 4

Projet de fin d’études
 
(Equivalent à 6 modules disciplinaires)

Contacts :

Courriel

fs.tetouan.contact@gmail.com

Fax

Du lundi au vendredi de 8h à 18h.

(+212) 5 39 99 45 00

Adresse

Téléphone

Du lundi au vendredi de 8h à 18h.

(+212) 5 39 99 64 32

Coopérations

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Admission

I- Conditions et modalités d’accès à la filière

Diplômes requis :

  • 3 ans après "2 Années Préparatoires"
  • 3 ans après Bac

Prérequis pédagogiques spécifiques :

  • Bachelor's degree in Mathematics, Computer Science, or Physics
  • Excellence Bachelor's degree in MLAI (Machine Learning and Artificial Intelligence)

Procédures de sélection :

  • Etude du dossier : (Spécifier les Modalités de sélection : mentions, nombre d’années d’études, notes des matières principales etc…)

At least two mentions in the Bachelor's degree program (Cycle Licence); 

the number of years of study after high school (BAC) is between three and five years; 

the average grade for mathematics modules (Cycle Licence)  is 12 /20.

  • Test écrit: 

II- Effectifs prévus par promotion 

–    Promotion : 2024-2025 : 30
–    Promotion : 2025-2026 : 30
–    Promotion : 2026-2027 : 30

Débouchés

  • Public Sector
  • Private sector
  • Companies