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Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (... Read more
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (hundreds of millions of Gigabytes, millions of transactions per day, billions of users, etc.).
This academic program is part of the Graduate School Artificial Intelligence and Data Science of Université Paris Cité, linking master's and doctoral courses to advanced research laboratories. The Graduate School trains specialists in Artificial Intelligence and Data Science with an emphasis on interdisciplinarity.
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (... Read more
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (hundreds of millions of Gigabytes, millions of transactions per day, billions of users, etc.).
This academic program is part of the Graduate School Artificial Intelligence and Data Science of Université Paris Cité, linking master's and doctoral courses to advanced research laboratories. The Graduate School trains specialists in Artificial Intelligence and Data Science with an emphasis on interdisciplinarity.
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master's in Fundamental and Applied Computer Science - Course: Data: Algorithms, Processing and Analysis
Université Paris Cité, Paris, France
# 301-350QS Subject Rankings
24 monthsProgram duration
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (...
Read more
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (hundreds of millions of Gigabytes, millions of transactions per day, billions of users, etc.).
This academic program is part of the Graduate School Artificial Intelligence and Data Science of Université Paris Cité, linking master's and doctoral courses to advanced research laboratories. The Graduate School trains specialists in Artificial Intelligence and Data Science with an emphasis on interdisciplinarity.
Read lessProgram overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Masters
Study Mode
On Campus
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (...
Read more
Data is the central aspect of all IT systems today. The big “big data” players (such as Google, Facebook, Twitter, etc.) rely on complex, constantly evolving technologies. Their main goal is to represent, store, efficiently process and analyze massive data (hundreds of millions of Gigabytes, millions of transactions per day, billions of users, etc.).
This academic program is part of the Graduate School Artificial Intelligence and Data Science of Université Paris Cité, linking master's and doctoral courses to advanced research laboratories. The Graduate School trains specialists in Artificial Intelligence and Data Science with an emphasis on interdisciplinarity.
Read lessAdmission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
QS subject rankings
Subject: Computer Science and Information Systems
Ranking criteria
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