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The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a... Read more
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a broad sense. (texts, images, space-time data, etc.). Its objective is to train researchers whose specialization focuses on one of the research lines of the doctoral program, all of them related to Data Analysis techniques ( Data Science). In this way, it will be possible to investigate the collection and structuring of information, in the processing of data with greater computational efficiency, in the analysis of the generated databases as well as in the research environments from which this information is extracted, among other fields. The Doctoral Program Data Analysis (Data Science) is part of the R+D+i strategy of the Complutense University of Madrid and various public and private organizations from around the world collaborate on it.
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a... Read more
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a broad sense. (texts, images, space-time data, etc.). Its objective is to train researchers whose specialization focuses on one of the research lines of the doctoral program, all of them related to Data Analysis techniques ( Data Science). In this way, it will be possible to investigate the collection and structuring of information, in the processing of data with greater computational efficiency, in the analysis of the generated databases as well as in the research environments from which this information is extracted, among other fields. The Doctoral Program Data Analysis (Data Science) is part of the R+D+i strategy of the Complutense University of Madrid and various public and private organizations from around the world collaborate on it.
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:
Data Analysis (Data Science)
Campus Moncloa, Madrid, Spain
36 monthsProgram duration
424 EURTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a...
Read more
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a broad sense. (texts, images, space-time data, etc.). Its objective is to train researchers whose specialization focuses on one of the research lines of the doctoral program, all of them related to Data Analysis techniques ( Data Science). In this way, it will be possible to investigate the collection and structuring of information, in the processing of data with greater computational efficiency, in the analysis of the generated databases as well as in the research environments from which this information is extracted, among other fields. The Doctoral Program Data Analysis (Data Science) is part of the R+D+i strategy of the Complutense University of Madrid and various public and private organizations from around the world collaborate on it.
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a...
Read more
The Doctoral Program Data Analysis (Data Science) of the Faculty of Statistical Studies has a broad interdisciplinary character whose common denominator is research in some of the phases involved in the efficient treatment of information, understood in a broad sense. (texts, images, space-time data, etc.). Its objective is to train researchers whose specialization focuses on one of the research lines of the doctoral program, all of them related to Data Analysis techniques ( Data Science). In this way, it will be possible to investigate the collection and structuring of information, in the processing of data with greater computational efficiency, in the analysis of the generated databases as well as in the research environments from which this information is extracted, among other fields. The Doctoral Program Data Analysis (Data Science) is part of the R+D+i strategy of the Complutense University of Madrid and various public and private organizations from around the world collaborate on it.
Read lessAdmission Requirements
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.
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