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Analyzing large amounts of data requires a broad and diverse range of knowledge, and it is the correct application of mathematical techniques and models that gives meaning to the numbers. The Master's Program in Data Science is a recently created program at CUCEA, approved in December 2018, and its first cohort of students began in August 2019.
The master's degree aims to train experts in solving economic, financial, business, marketing and public policy problems, with the support of processing large amounts of data and applying techniques for data analysis, modeling and simulation through supercomputing.
Data Science is closely related to the term Big Data, which in recent years has become an indispensable field for diagnosing and proposing solutions to problems of various kinds. The importance of Data Science lies precisely in its flexibility to make sense of the needs of each problem related to data management.
This postgraduate program stems from the need to give meaning to information generated across diverse contexts. It provides a multidisciplinary approach, enabling students to apply their acquired knowledge in any field requiring information processing, such as social, educational, or business settings. Its objective is to train professionals in economic and administrative areas with a solid foundation in the extraction, management, and analysis of large volumes of data.
The Master's program in Data Science opens applications annually and lasts two years. Currently, efforts are underway to be included in the National Quality Graduate Programs (PNPC) of CONACYT.
Furthermore, the master's program is fostering connections with national and international companies and universities, so that students will have the opportunity to undertake academic stays where they will apply the knowledge and skills acquired in relation to Data Science.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Analyzing large amounts of data requires a broad and diverse range of knowledge, and it is the correct application of mathematical techniques and models that gives meaning to the numbers. The Master's Program in Data Science is a recently created program at CUCEA, approved in December 2018, and its first cohort of students began in August 2019.
The master's degree aims to train experts in solving economic, financial, business, marketing and public policy problems, with the support of processing large amounts of data and applying techniques for data analysis, modeling and simulation through supercomputing.
Data Science is closely related to the term Big Data, which in recent years has become an indispensable field for diagnosing and proposing solutions to problems of various kinds. The importance of Data Science lies precisely in its flexibility to make sense of the needs of each problem related to data management.
This postgraduate program stems from the need to give meaning to information generated across diverse contexts. It provides a multidisciplinary approach, enabling students to apply their acquired knowledge in any field requiring information processing, such as social, educational, or business settings. Its objective is to train professionals in economic and administrative areas with a solid foundation in the extraction, management, and analysis of large volumes of data.
The Master's program in Data Science opens applications annually and lasts two years. Currently, efforts are underway to be included in the National Quality Graduate Programs (PNPC) of CONACYT.
Furthermore, the master's program is fostering connections with national and international companies and universities, so that students will have the opportunity to undertake academic stays where they will apply the knowledge and skills acquired in relation to Data Science.
Admission Requirements
In addition to those stipulated by current university regulations, the following are required:
Photocopy of the bachelor's degree certificate on both sides or original graduation certificate and proof of completion of the bachelor's degree social service.
Demonstrate a minimum average of eighty with an original certificate or equivalent document from previous studies, as applicable.
In the case of graduates of bachelor's degrees from the University of Guadalajara, they may provisionally submit a certificate of studies with grades and overall average issued by the School Control Coordination of the corresponding University Center.
Demonstrate reading comprehension of the English language at Level B1 of the MRCEL (no more than one year old);
Letter of intent explaining your reasons for taking the program;
Submit results from the GMAT, GRE, or EXANI III exams that are no more than one year old.
Additionally, demonstrate academic ability through the selection and admission criteria established by the Academic Board of the program.
Those additional ones established by the call for applications.
2 Years
Aug
Candidates are required to submit an essay(s) for acceptance
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 Data Science
Universidad de Guadalajara, Guadalajara, Mexico
24 monthsProgramme duration
AugStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The master's degree aims to train experts in solving economic, financial, business, marketing and public policy problems, with the support of processing large amounts of data and applying techniques for data analysis, modeling and simulation through supercomputing.
Data Science is closely related to the term Big Data, which in recent years has become an indispensable field for diagnosing and proposing solutions to problems of various kinds. The importance of Data Science lies precisely in its flexibility to make sense of the needs of each problem related to data management.
This postgraduate program stems from the need to give meaning to information generated across diverse contexts. It provides a multidisciplinary approach, enabling students to apply their acquired knowledge in any field requiring information processing, such as social, educational, or business settings. Its objective is to train professionals in economic and administrative areas with a solid foundation in the extraction, management, and analysis of large volumes of data.
The Master's program in Data Science opens applications annually and lasts two years. Currently, efforts are underway to be included in the National Quality Graduate Programs (PNPC) of CONACYT.
Furthermore, the master's program is fostering connections with national and international companies and universities, so that students will have the opportunity to undertake academic stays where they will apply the knowledge and skills acquired in relation to Data Science.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The master's degree aims to train experts in solving economic, financial, business, marketing and public policy problems, with the support of processing large amounts of data and applying techniques for data analysis, modeling and simulation through supercomputing.
Data Science is closely related to the term Big Data, which in recent years has become an indispensable field for diagnosing and proposing solutions to problems of various kinds. The importance of Data Science lies precisely in its flexibility to make sense of the needs of each problem related to data management.
This postgraduate program stems from the need to give meaning to information generated across diverse contexts. It provides a multidisciplinary approach, enabling students to apply their acquired knowledge in any field requiring information processing, such as social, educational, or business settings. Its objective is to train professionals in economic and administrative areas with a solid foundation in the extraction, management, and analysis of large volumes of data.
The Master's program in Data Science opens applications annually and lasts two years. Currently, efforts are underway to be included in the National Quality Graduate Programs (PNPC) of CONACYT.
Furthermore, the master's program is fostering connections with national and international companies and universities, so that students will have the opportunity to undertake academic stays where they will apply the knowledge and skills acquired in relation to Data Science.
Admission 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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Engineering and Technology (7)
Doctorate in Science in Biotechnological Processes - Traditional Doctorate (DT)
Doctorate in Science in Biotechnological Processes - Traditional Doctorate (DT)
PhD in Chemical Engineering
PhD in Chemical Engineering
PhD in Computational Intelligence
PhD in Computational Intelligence
PhD in Electronic and Computer Science with specializations in: Electronic and optoelectronic design, Computational mathematics, Automatic control and intelligent systems, Electric power systems
PhD in Electronic and Computer Science with specializations in: Electronic and optoelectronic design, Computational mathematics, Automatic control and intelligent systems, Electric power systems
PhD in Engineering Science
PhD in Engineering Science
PhD in Information Technologies, with specializations in Systems Analysis, Design and Simulation; Distributed Architectures of Information Systems and e-World
PhD in Information Technologies, with specializations in Systems Analysis, Design and Simulation; Distributed Architectures of Information Systems and e-World
PhD in Materials Science and Engineering
PhD in Mechatronics
Life Sciences and Medicine (7)
Doctorate in Biomedical Sciences with specializations in Immunology and Neuroscience - Direct Doctorate (DD)
Doctorate in Biomedical Sciences with specializations in Immunology and Neuroscience - Direct Doctorate (DD)
Doctorate in Health Psychology - Traditional Doctorate (DT)
Doctorate in Health Psychology - Traditional Doctorate (DT)
Doctorate in Maternal and Child Nutrition
Doctorate in Maternal and Child Nutrition
Doctorate in Occupational Health Sciences
Doctorate in Occupational Health Sciences
Doctorate in Pharmacology - Direct Doctorate (DD)
Doctorate in Pharmacology - Direct Doctorate (DD)
Doctorate in Science in Molecular Biology in Medicine with option for a Master's degree
Doctorate in Science in Molecular Biology in Medicine with option for a Master's degree
Doctorate in Socio-Medical Sciences
Interinstitutional Doctorate in Psychology
PhD in Behavioral Science, Neuroscience Orientation
PhD in Behavioral Science, Specialization in Behavior Analysis
PhD in Biochemistry and Biomedicine
PhD in Biosciences - Direct PhD (DD)
PhD in Biosystematics, Ecology and Management of Natural and Agricultural Resources with orientations in: Biosystematics and Agricultural Sciences and Ecology and Management of Natural Resources, and Ecology and Management of Marine Coastal Resources
PhD in Human Genetics - Direct PhD (DD)
PhD in Medical Microbiology
PhD in Multidisciplinary Health Research
PhD in Psychology with a focus on Quality of Life and Health
PhD in Science in Bioprospecting of Natural Products
PhD in Science in Microbiology and Molecular Biotechnology
PhD in Translational Nutrition Sciences - Direct PhD (DD)
Natural Sciences (7)
Doctorate in Physics - Traditional Doctorate (DT)
Doctorate in Physics - Traditional Doctorate (DT)
Doctorate in Science in Molecular and Translational Biochemistry - Direct Doctorate (DD)
Doctorate in Science in Molecular and Translational Biochemistry - Direct Doctorate (DD)
PhD in Behavioral Science with a focus on Food and Nutrition
PhD in Behavioral Science with a focus on Food and Nutrition
PhD in Chemistry
PhD in Chemistry
PhD in Geography and Spatial Planning
PhD in Geography and Spatial Planning
PhD in Geology
PhD in Geology
PhD in Innovation and Sustainability in Business
PhD in Innovation for Sustainable Habitat
PhD in Materials Science
PhD in Mathematics
PhD in Physical-Mathematical Sciences; with specializations in: Digital Signal Processing, Mathematics and Nanoscience
PhD in Science and Technology with specializations in: Applied Mathematics, Optoelectronics, and Nanotechnology and Advanced Materials
PhD in Sciences for Development, Sustainability and Tourism
PhD in Sustainable Biomaterials Science
PhD in Water and Energy
Others (7)
Doctorate in Human and Cultural Sciences
Doctorate in Human and Cultural Sciences
Social Sciences and Management (7)
Doctorate in Education
Doctorate in Education
Doctorate in Educational Systems and Environments
Doctorate in Educational Systems and Environments
Doctorate in Higher Education Management
Doctorate in Higher Education Management
Doctorate in Human Development, Education and Interculturality
Doctorate in Human Development, Education and Interculturality
Doctorate in Law
Doctorate in Law
Doctorate in Public Health Sciences - Direct Doctorate (DD)
Doctorate in Public Health Sciences - Direct Doctorate (DD)
PhD in Cognition and Learning
PhD in Cultural Management
PhD in Human Rights
PhD in Peace Management and Violence Prevention
PhD in Political Science
PhD in Public Policy and Development
PhD in Social Sciences
PhD in Sociocultural Studies
PhD in Territorial Socioeconomic Development