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Datais 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
Datais 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
For the first year of the Master's program (M1): Bachelor's degree in Computer Science or equivalent. Strong knowledge of databases, algorithms and programming, and basic knowledge of probability. For newly arrived international applicants: adequate proficiency in French, confirmed by a language level certificate.
For the second year of the Master's program (M2): validation of the first year of a Master's degree in computer science or equivalent qualification. Very good knowledge of databases, data processing and mining, artificial intelligence, and Big Data technologies.
2 Years
Sep
Tuition fees
Domestic
353 EUR
International
353 EUR
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 Degree in Computer Science - Specialization: Data: Algorithms, Processing and Analysis
Université Paris Cité headquarters, Paris, France
24 monthsProgramme duration
353 EURTuition Fee/year
SepStarting Month
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
For the second year of the Master's program (M2): validation of the first year of a Master's degree in computer science or equivalent qualification. Very good knowledge of databases, data processing and mining, artificial intelligence, and Big Data technologies.
Tuition fees
Domestic
International
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
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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