MBA
Applied AI & Machine Learning
- Intake: January 2026
- Language: English
- Diploma: MBA
- Campus: Paris
Program Presentation
An MBA focused on practical applications of machine learning in finance, marketing, and operations.
Objectives
Train professionals capable of using AI technologies to optimize business decisions and performance.
Target Audience & Prerequisites
Bachelor’s degree or equivalent with a minimum CGPA of 2.5, or a professional qualification plus 5 years of experience.
Programme
Semester 1 | Credits | Number |
---|---|---|
Module 1 : Strategic Marketing | 4 | ESTU 203 |
Module 2 : Strategic Analysis | 2 | ESTU 340 |
Module 3 : Human Resource Management | 4 | ESTU 657 |
Semester 2 | Credits | Number |
---|---|---|
Module 4 : Organizational Management | 4 | ESTU 768 |
Module 5 : Management Control and Performance Management | 4 | ESTU 432 |
Module 6 : Leadership & Change Management | 2 | ESTU 873 |
Semester 3 | Credits | Number |
---|---|---|
Module 7: Machine Learning for Business Prediction | 4 | ESTU 203 |
Module 8: Big Data & Strategic Visualization | 2 | ESTU 340 |
Module 9: Automation of Analytical Processes | 4 | ESTU 657 |
Module 10: AI Solution Project: Case Study | 3 | ESTU 420 |
Financial Support
Access to quality education should never be limited by financial constraints.
That’s why we offer financial aid covering up to €2,500 in tuition fees, depending on the eligibility and strength of your application.
Cette aide est ouverte à tous les candidats et attribuée en fonction de la qualité globale du dossier, notamment :
Eligibility Criteria
- Academic excellence
- Motivation demonstrated during the selection interview
- The candidate’s professional potential
Intake and Study Pace
We offer a new intake every 8 weeks, throughout the year.
To find out the exact dates of the next session, please contact our admissions team directly.
Two formats are available to suit your schedule:
- Full-time: program in 15 months
- Part-time: flexible program completed over 30 months
Admission
- Online Application
Fill out the form and submit your application file.
- Application Review
Our academic team reviews your application and schedules an interview if needed.
- Admission & Enrollment
Receive your admission letter and finalize your enrollment.