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Master in Big Data

EISTI - Ecole Internationale des Sciences du Traitement de l'Information (Int)Cergy - FRANCE

Field(s) of study: Big Data
Cost of pre-eligibility application: 
  • Via Mastersbooking: 0 €
  • Via the regular school procedure: 50 €
Course cost: 7 000 €
Possible funding options: 
  • Academic excellence scholarships
  • Bank loan
  • Financial assistance or scholarships awarded by the institution
  • International mobility grants
  • Paid internship
  • Payment by my company
  • Personal or family funding

Next admission round: 

Next recruitment session:

Available slots: 

Available spots: 30
Places available per academic year: 30

Course length: 

  • 1 year (12 months)

Start of the program: 


Level of entry: 

A Level+3 years
A Level+4 years



Business Intelligence and now Business Analytics have become key elements of all companies.
The objective of this Master is to train specialists in information systems and decision support, holding a large range of mathematic- and computer-based tools which would allow them to deal with real problems, analyzing their complexity and bringing efficient algorithmic and architectural solutions. Big Data is going to be the Next Big Thing over the coming 10 years.
The targeted applications concern optimization in the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it's the development of BI systems architecture. These applications have a role in most business domains: logistics, production, finance, marketing, client relation management.
The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand of training in these areas.

  • M1 Program

Data exploration
Mathematics for Computer science
Software and Architecture
Project Management
Languages an other courses

  • M2 Program

Computer technologies
Data exploration
Operations Research
Research Initiation Initiative
BI Architecture
Languages and workshops (4 ECTS, 105h, 1&2 S)
Internship (22 weeks)


Course format: 

The semesters are divided as follows:

  • M1 courses take place from September until June
  • M2 courses take place from September until mid-April
  • A five-month internship (preferably in France) from mid- April until mid- September.

Qualifications/expertise after completing the program

A large number of companies need BI systems in order to pilot their activities. Both public and private organizations need to take into consideration more and more constraints: new, stricter rules and regulations, heightened competition, needs for multiple optimizations, etc.
The specialists in this area are looking for people specialized in the domains of analytics, such as statistics, prediction, data mining, operational research etc. to meet the problems and needs of large companies in areas such as risk, fraud, customer relations and marketing etc.
The growing and large demand in these domains gives the students from this master course diverse and varied job opportunities - they could find a job in the area linked to decision support as a Data Scientist, a consulting engineer, research and development worker, tool design engineer, BI/Business Analytics solutions-provider or simply a user of Business Intelligence tools. For those who want to stay in the area of research, they could further their career in both public and private research centers, find a position in higher education or prepare a PhD.

Entry requirements

This Master's degree is for students who hold a Bachelor Degree in Computer Science or equivalent or for high-potential engineers who are looking for an international career in the
domain of business analytics, business intelligence or big data. The applicants who meet the requirements for M1 can be admitted directly to M2.

Admission criteria: 

This international program is for any student holding a BSc in Computer Science or equivalent or for high-potential foreign engineers who are looking for an international career in the domain of business analytics, business intelligence and big data.
Depending on the profile, students will be admitted in M1or directly in M2. For non-native English speakers, the candidates must prove their level of English with their application.

As proof we accept :
•TOEFL (Test of English as a Foreign Language): Minimum Score 80
•TOEIC (Test of English for International Communication):
Minimum Score 800, or other equivalent tests.


Mrs/Ms Marie-Josée LAMERRE