MSc AI & Data Analytics for Decision Making

Campus

  • PARIS
  • NICE

Duration

  • 1 year

In Short

Intake

  • February
  • September

Pace

  • Initial

Graduation diploma

  • 5 years of higher education

Teaching languages

  • English English

Tuition fees

  • September intake: €15,000 per year (Paris and Thionville)

  • February intake: €12,000 per year (Paris only)

     

Contacts

Application Brochure

  • Description

  • Programme

  • Admissions & Tuition Fees

  • Career Opportunities

Presentation

The MSc AI & Data Analytics for Decision Making prepares a new generation of decision-makers capable of turning data into strategic insights and insights into value-creating actions.

In an economic environment where decisions need to be faster, more accurate and increasingly data-driven, organisations are looking for managers who can harness the power of data and artificial intelligence.

Program Objectives

  1. Collect, organize, and analyze data to inform decision-making
  2. Design dashboards and visualizations tailored to each audience
  3. Build predictive models and integrate generative AI into business use cases
  4. Translate analysis results into well-reasoned business recommendations
  5. Lead data and AI projects: scoping, prioritization, change management, and value measurement
  6. Apply the principles of governance, ethics, and regulatory compliance (GDPR, AI Act)

Target Skills

  • Data Management & Analytics :
    Collect, organize, and analyze reliable data
  • Business Intelligence & Data Visualization : 
    Make data readable, shareable, and actionable
  • Artificial Intelligence & Machine Learning : 
    Design and implement predictive models and generative AI solutions
  • Data-Driven Decision-Making & Strategy : 
    Turning analysis into a driver of performance
  • Data & AI Transformation Management : 
    Leading projects from concept to deployment
  • Data Governance & Responsible AI : 
    Ensuring compliant, ethical, and secure use

Program

  • Semester 1

    • Core courses + specialization courses

  • Semester 2

    • Core courses + specialization courses + intership

Semester 1

Core Modules 

  • Social Responsibility and Corporate Ethics
  • Research Methodology
  • Project Management
  • Data Analysis for Decision Making 

Specialization Modules

  • Data Management, databases & SQL 
  • Business Intelligence, Data Vizualization & Storytelling 
  • AI & data driven strategy, governance & transformation 
  • Decision analytics & managerial decision making

Semester 2

Core Modules 

  • Digital Transformation
  • Leadership & Management
  • Change Management 
     

Specialization Modules

  • AI & Data Business Challenge - Capstone 
  • Generative AI, automatiion & AI tools for managers 
  • Machine learning & AI for Business 
  • Python & predictive analytics for business 
  • Business Analytics Application & performance

Admission

Admission requirements:

  • 240 ECTS credits minimum (applicants holding a 4-year degree / Bachelor’s degree equivalent to 240 ECTS)
  • English: proof of English proficiency is required during the application process (TOEIC, TOEFL, IELTS 6.0, etc.).

Contents of your application file

  • CV and cover letter
  • Identity document
  • Copy of degrees and transcripts

The admissions procedure

  • Review of the application
  • Candidate interview (30 minutes)

Contact

Admission services : 

Send message

Tuition Fees

  • Septembre intake : €13,000 per year (Paris and Thionville)
  • February intake : €12,000 per year (Paris only)

Target Careers

  • Data Analyst 
  • Business Analyst 
  • Data Consultant
  • Analytics Consultant 
  • Data & IA Consultant
  • Digital Transformation Consultant
  • Data-driven Projet Manager


 

  • Innovation & AI Project Manager 
  • Maketing Analytics Manager
  • Customer Insights Manager 
  • Supply Chain Analytics Manager
  • Financial Data Analyst