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At Louvain-la-Neuve
120 credits - 2 years
Day schedule - In English
Programme acronym : DATI2M
Francophone Certification Framework : 7
Dissertation/Graduation Project : YES
Internship : optional
Activities in English : YES
Activities in other languages : NO
Activities on other sites : NO

Main study domain :

Introduction

The digital transformation of society has led to explosive growth in the volume of data available. Most of the players in society now place great importance on using this data to help make objective decisions and develop their disciplinary focus. These specific needs have resulted in the emergence of new data-oriented careers.

The engineering master's in data science offers a course in scientific methods and technology tools for answering social or scientific questions based on the processing of frequently massive data sets ("big data"). This discipline usually requires a structured model of the problem in question to be combined with statistics and mathematics to deliver a rigorous, quantitative, operational solution to the question posed. Computer infrastructure and complex calculation algorithms thus complement scientific methods in structuring and processing the data.

The fields of application of data science are extremely varied: political and security decision-making, real-time online advertising, e-commerce, processing network data, processing financial and industrial production data, biomedical research based on omics or imaging data.

Your future job

Your degree in data science prepares you for the posts of data scientist, data analyst, data and analytics manager or data engineer and equips you to take on responsibilities in these areas.

Your programme

The data science programme draws on four common foundations:

  • Data structures and data processing algorithms.
  • Theories of learning, data mining and viewing multidimensional data.
  • Statistical inference and modelling.
  • Applications.