menu

Data Science and Artificial Intelligence engineer training

Formation Datascience

ESIEE Paris offers a specialization in Data Science and Artificial Intelligence within its engineering program during the last two years of the course, accredited by the Engineering Titles Commission (CTI).

Why should I become a Data Science and Artificial Intelligence Engineer?

In a rapidly growing context for data science, big data and artificial intelligence, the specialization trains data engineers. The main missions of this engineer are to transform data into a format suitable for analysis (Data Engineer), and to participate in the development of algorithms that translate the data into useful and exploitable information (Data Scientist). In short, their role is to collect, prepare, analyze and exploit data in order to guide the company in which they work towards a new business strategy.

What will the training bring me?

Objectives

  • Build the toolbox for data engineering
  • Learn the main machine learning techniques
  • Prepare for the job of Data Engineer
  • Discover the job of Data Scientist

Skills

  • Collect, analyze and cleanse large volumes of data
  • Build predictive models from the data and evaluate their performance
  • Present results through data visualization
  • Deploy applications of data science

How is the training going?

At the end of the first year of the engineering cycle, students choose their field of study. The course of study is spread over two years with compulsory and optional scientific and technical courses, management courses and modern languages.

Program detailed

2nd year of the engineering cycle

The courses are organized in two semesters, each one subdivided into two periods. The first semester consists of two teaching periods. The second semester is made up of one teaching period and an internship period of at least 12 weeks. From January to April, students must work in teams on multidisciplinary projects proposed by industrial partners, laboratories or ESIEE Paris teachers.  All students may take optional modern language 2 courses.

▶ UE - Sciences and techniques in depth (330h - 27 ECTS)
▶ UE - Sciences and techniques opening (90h - 10 ECTS)
▶ UE - Management and human sciences (120h - 7 ECTS)
▶ UE - Modern Languages (76h - 4 ECTS)
▶ Internship (12 ECTS)

3rd year of the engineering cycle

The courses are organized in two semesters. The first semester consists of two teaching periods. In the second semester, the student must complete an end-of-studies internship of at least 24 weeks (6 months) in a company or research laboratory.

▶ UE - Sciences and techniques deepening (180h - 18 ECTS)
▶ UE - Sciences and techniques opening (60h - 5 ECTS)
▶ UE - Management and human sciences (90h - 5 ECTS)
▶ UE - Modern Languages (42h - 4 ECTS)
▶ Internship (30 ECTS)

Examples of applications : distribution, marketing, health/medical, security, finance, energy, smart cities, automation, connected objects, etc.

Professional opportunities

Professions / Positions

  • Data-analyst
  • Data-scientist
  • IT project manager
  • Architect Internet of Things
  • Consultant
  • Analyst

Sectors of activity

  • IT services
  • Web
  • SSII
  • Telecom and networks companies
  • Service sector (banks, insurances, marketing…)

Companies that have recruited graduates from the sector : MC2I, BNP Paribas, Safran, Akka Technologies, Saur, LCL, Credit Agricole, Agence France Presse, L'oréal, SIACI Saint Honore, EDF R&D, Orange, Inetum, AG2R, Impala, LGM Ingenierie, Société Générale, …