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The "Big Data" phenomenon is rooted in the field of data science and engineering, which aims at developing both computer and mathematical tools for data storage and processing. An increasing volume of data are daily produced by modern day industrial processes (in fields such as energy, intelligent transport systems, aviation industry and many others...), and fuelled by the rise of multimedia tools and the Internet of Things in our daily life.

OBJECTIVES:

  • Combining computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address applied issues related to data processing.
  • Learn how to develop methods, algorithms and software able to extract value out of huge masses of heterogonous data with several dimensions.
  • Provide a cohesive blend of technical classes in data mining, software engineering, distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate recruiters.

COURSE DESCRIPTION

Students need to validate a certain amount of credits per Teaching Unit each semester. The curriculum offers great flexibility by offering many electrive courses. Please consult the Academic Schedule and the Frequently Asked Questions for more Information about the schedule organisation.

EURECOM was awarded a five star overall excellence rating (out of five stars) in the QS Stars University ratings 2018. As a study destination, EURECOM is globally recognized for its strong connections with industry, high-impact research and the Excellency of its teaching. EURECOM obtained five QS Stars in Teaching, Employability and Facilities.


Visit the Data Science and Engineering - MSc page on the EURECOM website for more details!

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