Date: 06 September 2023
Timing: 2 PM to 8 PM
Mode: On-campus and Online
Don’t miss the opportunity to discover how to start your career in data at DSTI. We specialise in offering data and AI-related courses both on-campus and online, with Applied Bachelor and MSc courses tailored to individuals and companies.
To join online, register using the form below to receive the videoconference link.
CEO and Professor
Sébastien Corniglion is the Co-Founder and CEO of DSTI and has a background as an Information System Engineer & PhD student at SICTIAM in Sophia-Antipolis, as well as an MBA and MSc in Computer Science from the University of Edinburgh. His diverse academic and professional experience has helped shape his leadership in the field of data science and technology.
On Open Day, DSTI will present an introduction to the world of data, explain how DSTI assists students in beginning their careers in data, and provide an overview of our programmes.
Timing: 2 PM to 3 PM
We invite students to attend the actual class lectures with our current students. As a result, prospective students can experience how our classes are held. You can talk to actual students.
Timing: 2 PM to 8 PM
Language: English and French
We invite students to visit our Paris and Nice Sophia Antipolis campuses with their CV, marksheets and degree certificates. As a result, we discuss their admission chances at DSTI. In case, we like your profile, we can expediate your admission process and offer you a chance to attend DSTI as soon as possible.
Timing: 3 PM to 4.30 PM
Venue: Online and On-Campus
In this session, DSTI introduces the career possibilities in data world and how DSTI can help you begin your career in the world of data.
Showcasing the skills, roles and activities of Data Scientists, Data Engineers & Data Analysts
Horaires: 18h à 19h30
Lieu: En ligne et sur le campus
Dans cette session, DSTI vous présente les opportunités de carrière dans le monde de la data et comment nous pouvons vous aider à débuter dans ce secteur.
Mettant en lumière les compétences, les rôles et les activités des Data Scientists, Data Engineers et Data Analysts.