MSc
Big Data & Artificial Intelligence

The program is designed to provide students with cutting-edge skills in data analysis, machine learning, and artificial intelligence, while offering the flexibility of a work-study format. With a comprehensive curriculum covering big data platforms, data lakes, data science, quantum computing, and decision intelligence, the program prepares future data professionals to succeed in a global, innovation-driven environment.

Program accredited under the French RNCP number 38474

4,5/5

Based on student reviews on Google

Program's informations

Big Data & Artificial Intelligence
294 hours - ECTS : 32

ย Software-Defined Data Center Administration โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Dataviz

ย BI Programming – Python

ย BI Programming – R

ย Big Data and Analytics

ย Datalakes

ย Datawarehousing and ETL

ย Data indexing and research

ย Machine Learning โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Data Science

Quantum computing Fundamentals for Machine Learning

DataOps

Big Data Unified data and analytics platforms

Soft skills et stage/alternance
231 heures - ECTS : 28

ย School integration

ย Start-up & IT

ย Personal development – Oral and written expression – Advanced

ย Business English

ย Hiring strategy

ย Information System Management โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Professional feedback

Industries Cursus โ€“ Digital Media Industries, e-Industries, Retail Industries, or Finance Industries โ€“ Courses taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

Professional experience & Defense

ย Hackathon

Big Data & Artificial Intelligence
294 hours - ECTS : 34

ย Big Data and Analytics

ย Big Data Unified data and analytics platforms

ย Data indexing, search and visualization

ย Big Data and IoT

ย Data Science

ย Data Analysis and Data Mining

ย Machine Learning & Deep Learning โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย DataOps

ย Business Intelligence and Decision Analysis โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Quantum computing Machine Learning

Big Data & Artificial Intelligence
294 hours - ECTS : 34

ย School integration

ย Start-up & IT

ย Personal development – Oral and written expression – Advanced

ย Business English

ย Hiring strategy

ย Information System Management โ€“ Course taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Professional feedback

ย ย Industries Cursus โ€“ Digital Media Industries, e-Industries, Retail Industries, or Finance Industries โ€“ Courses taught in English from Washington DC (USA ๐Ÿ‡บ๐Ÿ‡ธ), Bangalore (India ๐Ÿ‡ฎ๐Ÿ‡ณ), Sรฃo Paulo (Brazil ๐Ÿ‡ง๐Ÿ‡ท), or Kyoto (Japan ๐Ÿ‡ฏ๐Ÿ‡ต).

ย Professional experience & Defense

ย Hackathon

This program is available in:

  • Athens, with courses in English
  • Dubai, with courses in English
  • Geneva, with courses in French
  • Paris, with courses in both French and English

This program is
NOT JUST ANOTHER DEGREE

International partnerships

School key figures

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Satisfaction rate

Satisfaction rate (based on a satisfaction survey conducted from January 2023 to March 2024)

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rate of examination attendance

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students have
obtained their
degree

Admission process

1

ONLINE APPLICATION

Begin your journey by completing a comprehensive online application. This initial step allows you to provide essential information about your academic background, achievements, and aspirations. Make sure to submit all required documents and details accurately to ensure a smooth evaluation process.

2

FILE ASSESSMENT

Following the submission of your online application, our admissions team conducts a thorough file assessment. This stage involves a detailed review of your academic transcripts, letters of recommendation, personal statement, and any other relevant documents you have submitted. The objective is to gain a holistic understanding of your qualifications, experiences, and potential contributions to our academic community.

3

ADMISSION INTERVIEW

Successful applicants will be invited to participate in a personalized admission interview. This interview serves as an opportunity for you to express your motivations, goals, and any additional information you wish to share. It also allows us to better understand your unique qualities, ensuring a holistic evaluation of your candidacy.

4

ADMISSION DECISION

The culmination of the admission process results in our Admission Jury decision. It is communicated to you in a timely manner, providing clarity on your application status

Pricing

Normal cursus
Admission fees 290โ‚ฌ
Tuition fees Program fees 10 000โ‚ฌ per candidate

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