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CentraleDigitalLab

  • Language(s)

    English

Presentation

Centrale Méditerranée and 3IA Côte d'Azur join forces to offer a high-level professional training program in Artificial Intelligence and Data Science: the postgraduate Institutional Diploma CentraleDigitalLab, specialized in innovation and dedicated to the companies’ digital transformation.

 

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Objectives

The goal is to develop scientific skills (artificial intelligence, data science) and an innovation-oriented work methodology through a project-oriented pedagogy.

This one-year program is entirely taught in English, and aims to train professionals in digital innovation and transformation (AI project managers, data scientists, data analysts, etc.):
- Technical skills: Machine Learning, Data Science, Deep Learning
- Project skills: rapid prototyping, Agile methods, test-driven development, continuous integration, release management (git) and developer tools
- Soft skills: teamwork, direct customer relations and communication

The program begins with an intensive refresher period in mathematics and programming, followed by 3 weeks of courses in AI and Data Science, Agile methodology, etc. To enrich their experience, students in the program undertake:
- 2 projects with program partner companies
- An internship in France or abroad
A total of 60 ECTS credits are required to obtain the Institutional Diploma CentraleDigitalLab.

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Skills

Organisation

Program

The training program is divided into two phases:

Period 1: Active Learning
- Courses: Intensive courses to quickly gain skills
- Projects (30 ECTS): Each project is carried out by a team of 3 to 5 students over a sprint of 8 to 10 weeks, ending with a collective report and an oral defense. After the kick-off meeting, the students are in direct and regular contact with their client, a company asking them to respond to a transformation need or a technical challenge (artificial intelligence, connected objects, etc.)

The skills acquired at the end of Period 1 considering both of the projects and evaluated by the jury are:
o Technological innovation: model/design a solution or a prototype responding to a real problem
o Development: develop a computer program with an artificial intelligence or data science component
o Project management: manage a project in team using agile methods
o Communication: know

Skills are assessed according to the following progression: Novice, Intermediate, Competent, Advanced and Expert (skills framework distributed at the start of the session). Students must achieve the "competent" level or higher in each skill to obtain the 30 ECTS.

Phase 2 (30 ECTS): Internship in a lab or a company, in France or abroad, lasting 4 to 6 months.

The internship helps improve skills level.

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Admission

Target

This high-level program requires Master 2 level (engineers, M2 scientists, business schools), and is accessible to GEC students by special dispensation from the jury.

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Recommended prerequisites

A good grounding in object programming (Python) and algorithms is a prerequisite.

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