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EURECOM: Data Science
| Institution | EURECOM |
|---|---|
| Department | Data Science Department |
| Web | http://www.eurecom.fr/en |
| Study type | Taught |
Summary
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,processing and analytics. An increasing volume of data is daily produced by modern day industrial processes (in fields such as energy, intelligent transport systems, health, tourism and many others...), and fuelled by the rise of multimedia content being shared and the Internet of Things in our daily life. Artificial Intelligence is now empowering applications which requires large scale and smart processing of data to build accurate predictive models.
OBJECTIVES:
- Combine computer and statistical sciences to develop cutting-edge and fundamental tools to efficiently address data processing problems
- Learn how to develop methods, algorithms and software capable to extract knowledge and insights out of huge masses of heterogonous data with several dimensions.
- Provide a cohesive blend of technical classes in machine learning, data mining, information extraction and distributed systems coupled with fundamentals in Business, Innovation and Project Management to develop profiles which are highly valued by corporate
MSc
| Level | NFQ Level 7 |
|---|---|
| Entry requirements | "Bachelor's Degree (minimum 3 years of higher education) in a relevant field including undergraduate degrees in Statistics, Computer Science, Mathematics, Engineering and Physics; |
| Location | Campus SophiaTech 450 route des Chappes 06410 Biot Sophia-Antipolis France |
Fees
| / year for non EU | 6000 Euro |
|---|---|
| /year for EU students | 3000 Euro |
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