The Mastere AI & Data Management is a post graduate degree program designed for bachelor owners with a general information technology (IT) or business background willing to develop a career in data project management. We offer a fully dynamic curriculum (data management, data programming and analytical aspects data science, machine learning, technology watch, project management etc). Our ultimate goal is to lead a path for our alumnis to become future strategic leaders by mastering Artificial Intelligence and Data Management in the international business environment.
At the end of the course you will be able to:
Teaching Units :
TUITION FEES 2023-2024 (Excluding application fees)
Application fee 600 € for europeans students or french residents and 900€ for student with visa request.
Early bird : -300€ on the total amount 5 months prior to class starts.
October 2023 :
Applications with a VISA request | 15 March – 15 August 2023
Applications without VISA request | 15 March – 15 September 2023
Start of classes on October 03, 2023
February 2024:
Applications with a VISA request | 15 September – 15 December 2023
Applications without VISA request | 15 September – 15 January 2024
Start of classes on February 05, 2024
IESIG is excited to announce its scholarship program for the Fall intake of 2023-2024, specifically for master’s level students pursuing AI and Big Data education. The program offers scholarships covering up to 80 percent of the tuition fee, showcasing the institution’s commitment to nurturing the next generation of AI and Big Data professionals. Eligible applicants must apply for the Master’s level AI and Big Data major at IESIG before the June 15th deadline to be considered for this incredible opportunity. Scholarships will be awarded based on merit, potential, and financial need, with a rigorous yet fair selection process. Interested individuals are encouraged to visit the official website for further information and to submit their applications, taking the first step towards a rewarding career in AI and Big Data.