Data Science
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The entry year in Rennes is dedicated to teaching students the basic knowledge to manipulate, store, and analyse data. Our exit year focuses on artificial intelligence methods in general, and data mining in particular, to address the challenges of business intelligence. Those challenges include numerous tasks that are covered by our courses, such as preprocessing and storing decisional data in data warehouses, managing Big Data in the cloud, learning models and perform inferences, mining knowledge out of data, and visualizing both data and learned knowledge. The focus is put on the data science methodology rather on the arcane details of specific methods, although the courses will bring fundamental knowledge about the main AI & data mining methods.The students will learn to analyse business intelligence problems, and to make the appropriate choices among the numerous existing methods and tools. They will also learn to conduct the data science workflows, and to analyse the results in cooperation with domain experts. At University of Rennes 1, we have already built for decades a strong enterprise culture where students acquire competencies for communicating with non-IT domain experts, especially in business. Those competencies are highly valued and recognized by companies, which are also involved in the continuous improvement committee of the existing cursus on which this master is founded.The Data Science program of University of Rennes 1 is a two-year program located in Rennes, France. Students will follow exactly the same set of courses as students from the EIT Digital master school, except that they will spend their two study years in Rennes. They will receive a Master degree in Data Science from the University of Rennes 1
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Rennes
Brittany
35064
France
- 2 years
- Full Time
- On Campus Learning
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