MSc Data Engineering & Cloud Computing
Data jobs are at the top of the jobs that will evolve the most in the coming years according to the study "Future of Jobs Report 2020" from the World Economic Forum. Big data analysis is also among the 5 skills that are progressing the fastest since the pandemic crisis according to a LinkedIn study from November 2020.
Based on a pedagogical approach combining multidisciplinary teaching, projects and feedback, the MSc Data Engineering & Cloud Computing makes it possible to respond to the opportunities and challenges raised by the massification of data in all sectors of economic activity and all areas of our modern society, thus leading to a significant transformation of professions and practices.
Faced with exponential growth in data volumes, companies of all sizes and sectors have no choice but to think about and implement solutions capable of addressing the issues related to this big data, described as "fuel" or "black gold" because its value fuels the digital economy. Furthermore, the importance of data does not only concern the economic world. Public organizations, scientific research, NGOs, communities and Smart Cities are also concerned.
The objective of the MSc Data Engineering & Cloud Computing is to train students to become experts in data management and to master the complete cycle of data engineering: acquisition, architecture, storage, cleaning, pipeline, security, structuring, analysis and visualization.
The program is both technical (Cloud Computing, Programming, Database Management) and theoretical (Distributed Algorithms, Machine Learning, Distributed Database Theory). This dual approach allows students to know how to use the most common and effective tools while understanding the foundations of their mechanisms in order to be able to use them in the best conditions and configure them quickly. In addition, learning different tools and their principles allows students to learn to adapt to different technologies and quickly become efficient on any tool of this kind.
The first year consolidates the mastery of a project centered around data. A student of the MSc DE1 will be able to set up a project and propose robust architecture for projects handling reasonable volumes of data (use of centralized databases). Some calculation techniques on large volumes are presented.
The second year specializes in the processing of massive data (known as Big Data). From storage to analysis, this year trains for expertise in massive data project management. Different types of Clouds are presented (AWS and Azure) as well as NoSQL databases.
This program presents many technologies regularly used in business and a technological and scientific watch allows to present the cutting-edge tools and approaches in order to take them in hand. In order to train experts in Data Engineering and Cloud Computing, the training also emphasizes the place of these skills in society through a business approach coupled with the ethics of data manipulation, green computing and the laws governing this field.
Data jobs are at the top of the jobs that will evolve the most in the coming years according to the study "Future of Jobs Report 2020" from the World Economic Forum. Big data analysis is also among the 5 skills that are progressing the fastest since the pandemic crisis according to a LinkedIn study from November 2020.
Based on a pedagogical approach combining multidisciplinary teaching, projects and feedback, the MSc Data Engineering & Cloud Computing makes it possible to respond to the opportunities and challenges raised by the massification of data in all sectors of economic activity and all areas of our modern society, thus leading to a significant transformation of professions and practices.
Faced with exponential growth in data volumes, companies of all sizes and sectors have no choice but to think about and implement solutions capable of addressing the issues related to this big data, described as "fuel" or "black gold" because its value fuels the digital economy. Furthermore, the importance of data does not only concern the economic world. Public organizations, scientific research, NGOs, communities and Smart Cities are also concerned.
The objective of the MSc Data Engineering & Cloud Computing is to train students to become experts in data management and to master the complete cycle of data engineering: acquisition, architecture, storage, cleaning, pipeline, security, structuring, analysis and visualization.
The program is both technical (Cloud Computing, Programming, Database Management) and theoretical (Distributed Algorithms, Machine Learning, Distributed Database Theory). This dual approach allows students to know how to use the most common and effective tools while understanding the foundations of their mechanisms in order to be able to use them in the best conditions and configure them quickly. In addition, learning different tools and their principles allows students to learn to adapt to different technologies and quickly become efficient on any tool of this kind.
The first year consolidates the mastery of a project centered around data. A student of the MSc DE1 will be able to set up a project and propose robust architecture for projects handling reasonable volumes of data (use of centralized databases). Some calculation techniques on large volumes are presented.
The second year specializes in the processing of massive data (known as Big Data). From storage to analysis, this year trains for expertise in massive data project management. Different types of Clouds are presented (AWS and Azure) as well as NoSQL databases.
This program presents many technologies regularly used in business and a technological and scientific watch allows to present the cutting-edge tools and approaches in order to take them in hand. In order to train experts in Data Engineering and Cloud Computing, the training also emphasizes the place of these skills in society through a business approach coupled with the ethics of data manipulation, green computing and the laws governing this field.
