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Data Analytics, Data Science, Data Architecture

EISTI

Master
24 months
Duration
7000 EUR/year
7000 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Analytics, Data Science, Data Architecture program at EISTI Graduate Engineering School draws on the recognized excellence of our engineering school in business intelligence and has grown from the specializations in Decision Support, Business Intelligence and Business Analytics.

Overview

The Data Analytics, Data Science, Data Architecture program at EISTI Graduate Engineering School is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of Business Analytics.

Objectives

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. 

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 relationship management.

The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand for training in these areas.

Distinctive points of this course

  • The triple skill-set with architecture (BI), data mining and business resource optimization.
  • This master will be run by a multidisciplinary group: statistics, data mining, operational research, architecture.
  • The undertaking of interdisciplinary projects.
  • The methods and techniques taught in this program come from cutting-edge domains in industry and research, such as: opinion mining, social networks and big data, optimization, resource allocation and BI systems architecture.
  • The Master is closely backed up by research: several students are completing their end-of-studies project on themes from the L@RIS laboratory, followed and supported by members from the laboratory (PhD students and researcher teachers).
  • The training on the tools used in industry dedicated to data mining, operational research and Business Intelligence gives the students a plus in their employability after completion.

Accreditation

The program is accredited by the French Ministry of Higher Education and Research.

Programme Structure

Courses include:

  • Inferential Statistics 
  • Data Analysis 
  • Introduction to Prediction Models 
  • Introduction to Data Mining 
  • Partial Differential Equations & Finite Differences 
  • Operational Research: Linear Optimization 
  • Combinatory Optimization 
  • Complexity Theory 
  • Simulation and Stochastic Processes 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • A completed application form
  • Official copies of university transcripts and degrees
  • Copy of identity card/passport
  • A one page CV
  • Letter of motivation 
  • One letter of recommendation
  • Current school attendance record

Tuition Fee

  • International

    7000 EUR/year
    Tuition Fee
    Based on the original amount of 7000 EUR per year and a duration of 24 months.
  • EU/EEA

    7000 EUR/year
    Tuition Fee
    Based on the original amount of 7000 EUR per year and a duration of 24 months.

Funding

  • EISTI Scholarship
  • EIFFEL scholarships

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Our partners

Data Analytics, Data Science, Data Architecture
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EISTI

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