12 monthsProgramme duration
243 EURTuition Fee/year
Jan, SepStarting Month
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 .
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 .
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.
- 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
Tuition fees
Domestic
243 EUR
International
243 EUR
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