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At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and... Read more
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and volume. Our faculty benefits from particular expertise in this field since its teachers were the first in France to set up a health data warehouse at the European Georges Pompidou Hospital, which has given rise to a great deal of work.
Several major challenges must be met to build efficient algorithms on these data, in particular the high dimensionality of the data, the biases inherent in human intervention in the generation of the data, the management of multi-source information, etc.
This course aims to train knowledgeable users of methods for analyzing this health data in order to meet a growing demand for processing this data for research and innovation purposes.
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.
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and... Read more
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and volume. Our faculty benefits from particular expertise in this field since its teachers were the first in France to set up a health data warehouse at the European Georges Pompidou Hospital, which has given rise to a great deal of work.
Several major challenges must be met to build efficient algorithms on these data, in particular the high dimensionality of the data, the biases inherent in human intervention in the generation of the data, the management of multi-source information, etc.
This course aims to train knowledgeable users of methods for analyzing this health data in order to meet a growing demand for processing this data for research and innovation purposes.
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 Public Health - Path: Big Data in Health
Université Paris Cité, Paris, France
24 monthsProgram duration
Health/HealthcareMain Subject Area
Program overview
Main Subject
Health/Healthcare
Degree
MPH
Study Level
Masters
Study Mode
On Campus
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and...
Read more
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and volume. Our faculty benefits from particular expertise in this field since its teachers were the first in France to set up a health data warehouse at the European Georges Pompidou Hospital, which has given rise to a great deal of work.
Several major challenges must be met to build efficient algorithms on these data, in particular the high dimensionality of the data, the biases inherent in human intervention in the generation of the data, the management of multi-source information, etc.
This course aims to train knowledgeable users of methods for analyzing this health data in order to meet a growing demand for processing this data for research and innovation purposes.
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
Health/Healthcare
Degree
MPH
Study Level
Masters
Study Mode
On Campus
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and...
Read more
At a time when the government, like the GAFAs, has made the use of health data a priority, these data, available thanks to the development of hospital data warehouses and the national health data system, require particular expertise because their variety and volume. Our faculty benefits from particular expertise in this field since its teachers were the first in France to set up a health data warehouse at the European Georges Pompidou Hospital, which has given rise to a great deal of work.
Several major challenges must be met to build efficient algorithms on these data, in particular the high dimensionality of the data, the biases inherent in human intervention in the generation of the data, the management of multi-source information, etc.
This course aims to train knowledgeable users of methods for analyzing this health data in order to meet a growing demand for processing this data for research and innovation purposes.
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:
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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