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Nowadays, data drives the world. Public and private organisations in all sectors face an avalanche of digital data. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is of great value only after it has been refined and analysed, in order to produce information and knowledge that can be used for decision making in a particular domain of interest. Usage is no longer restricted to simple querying or data mining, it increasingly requires exploration, recommendation, explanation, and visualisation, along with special treatment of time and location. This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation. In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Nowadays, data drives the world. Public and private organisations in all sectors face an avalanche of digital data. While at first glance this appears to be favourable for our knowledge-based society, in many ways it is a burden. Data is of great value only after it has been refined and analysed, in order to produce information and knowledge that can be used for decision making in a particular domain of interest. Usage is no longer restricted to simple querying or data mining, it increasingly requires exploration, recommendation, explanation, and visualisation, along with special treatment of time and location. This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation. In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Admission Requirements
72+
5.5+
Compulsory supporting documents
Detailed description and hourly volume of courses taken since the beginning of the university program.
Certificate of English level.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum Vitae.
Motivation letter.
Additional supporting documents
Choice sheet of M2 (obligatory for the candidates registered in M1 at the University Paris-Saclay) to download on universite-paris-saclay.fr
Certificate of English level (compulsory for non-English speakers).
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
1 Year
Jan
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Domestic
243 EUR
International
243 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:
Big data Management and Analytics
# =74QS Subject Rankings
12 monthsProgramme duration
243 EURTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation.
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This specialization disseminates essential knowledge about the ethical generation, collection, and exploitation of data for efficient decision-making systems. It focuses on models, algorithms, and technologies related to massive data analytics. It covers theoretical foundations such as decision-making in uncertain situations, machine learning methods, graph management and analytics as well as visualisation and innovation.
In order to apply to one of the programmes of the master, please select the programme you are interested in under the "Year 1 & 2 Master's programmes" tab .
Admission Requirements
- Detailed description and hourly volume of courses taken since the beginning of the university program.
- Certificate of English level.
- All transcripts of the years / semesters validated since the high school diploma at the date of application.
- Curriculum Vitae.
- Motivation letter.
Additional supporting documentsDomestic
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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