Are you thinking of studying Data Science & Big Data, abroad? Below you can find the most popular universities and programmes to study Data Science & Big Data in Grenoble, France. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.
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Most popular Data Science & Big Data programmes for international students in Grenoble
These are the most popular programmes among international students who are looking for a Data Science & Big Data degree in Grenoble.
Informatics at Grenoble (MoSiG)
Grenoble INP Institute of engineering Univ. Grenoble Alpes
Read moreRead lessIndustrial and Applied Mathematics (MSIAM)
Grenoble INP Institute of engineering Univ. Grenoble Alpes
Read moreRead lessStudy abroad in English
To apply at one of these universities, you may need a proof of English proficiency. There are several standardised English tests that you can take to proof your English level, such as the PTE (Pearson Test of English), TOEFL (Test of English as a Foreign Language), CAE (Cambridge Advanced English) and IELTS (International English Language Testing System), offered by British Council and IDP. IELTS is the most popular of these tests, with British Council offering more than 1000 test locations and being accepted by more than 9,000 organisations world-wide.
About Data Science & Big Data
Data Science degrees teach students to use scientific techniques to extract insights from data. Big Data studies prepare specialists who work with large collected databases, by showing students how data mining, programming, and data visualisation work, and how to make predictions. Big Data courses approach business adaptability and sustainability and help you understand markets and customer behaviour.
Related disciplines
- Informatics & Information Sciences
- Geographical Information Systems (GIS)
- Business Information Systems
- Video Games & Multimedia
- Computer Sciences
- Data Science & Big Data
- Health Informatics
- Human Computer Interaction
- IT Security
- Web Technologies & Cloud Computing
- Cyber Security
- Software Engineering
- Artificial Intelligence
- Machine Learning
