MASTER OF SCIENCEArtificial Intelligence for Business Transformation

 

 

Programme courses

Programme

This MSc is a CGE-accredited, full-time programme with eight months of courses followed by work experience or a research project.

Master of science    

Intake: September 
Language: English 
Campus: ESIEA (semester 1) and SKEMA Paris (semester 2) 



Course calendar

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Courses by semesteraibt-paris-campus-for-courses.jpg

​ Semester 1 - ESIEA campus

​​September-December

COURSES (30 credits)

  • AI Challenges
  • AI in Society (Fall)
  • Computer Programming Support (Fall)
  • Machine Learning with Python
  • Fundamental Mathematics with R
  • Data Exploration
  • Data Modelling
  • Neural Networks
  • Application of AI
  • Deep Learning and Ensemble Learning
  • Data Management
  • Natural Language Processing
  • Business Intelligence with Data Mining
  • Research Methods for AIBT

​Semester 2 - SKEMA Campus

January-May

COURSES (30 credits)

  • AI in Society (spring)
  • Computer Programming Support (spring)
  • Company Project
  • Data Science for Business
  • Business Analytics Platforms
  • Cloud Computing
  • Big Data Architecture
  • Cyber Security
  • Strategy in the Digital Economy
  • AI Management
  • Risk Management and AI Ethics
  • Agile Project Management

 

MASTER'S THESIS (30 credits)


TOTAL CREDITS: 90



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