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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 (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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
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 (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.
Admission Requirements
In M1: Bachelor's degree in computer science or equivalent diploma. Good knowledge of databases, algorithms and programming, and basic knowledge of probability. For newcomer foreign candidates: adequate command of the French language confirmed by a language level certificate. In M2: validation of M1 computer science or equivalent diploma. Very good knowledge of databases, data processing and mining, artificial intelligence and Big Data technologies.
2 Years
Sep
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:
Master's in Fundamental and Applied Computer Science - Course: Data: Algorithms, Processing and Analysis
Université Paris Cité, Paris, France
24 monthsProgramme duration
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
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 (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.
Programme overview
Main Subject
Data Science and Artificial Intelligence
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 (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.
Admission Requirements
In M2: validation of M1 computer science or equivalent diploma. Very good knowledge of databases, data processing and mining, artificial intelligence and Big Data technologies.
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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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