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General objective To train highly qualified professionals in artificial intelligence and data science with a solid theoretical, technical and practical foundation to develop innovative solutions that contribute to the automation of processes and support the digital transformation of productive sectors, improving their competitiveness, social and environmental impact, integrating relevant ethical criteria into their performance.
Specific objectives To provide comprehensive training in artificial intelligence and data science that includes advanced theoretical knowledge, specialized technical skills and applied practical experience, preparing students to address and solve real challenges in the field of process automation and decision-making. To develop in students the ability to design, implement and manage innovative technological solutions in artificial intelligence and data science that improve operational efficiency, competitiveness and the social and environmental impact of the productive and service sectors, promoting digital transformation. To foster an ethical approach to decision-making and the design of technological solutions, ensuring that trained professionals consider the social, economic and environmental impacts of their work, and promote responsible and sustainable practices in the field of artificial intelligence and data science. To stimulate critical thinking, creativity, research and innovation in students, enabling them to design and develop advanced technological architectures and integrate solutions that address complex problems in an effective and multidisciplinary manner, thus contributing to the advancement of society and industry.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Blended
General objective To train highly qualified professionals in artificial intelligence and data science with a solid theoretical, technical and practical foundation to develop innovative solutions that contribute to the automation of processes and support the digital transformation of productive sectors, improving their competitiveness, social and environmental impact, integrating relevant ethical criteria into their performance.
Specific objectives To provide comprehensive training in artificial intelligence and data science that includes advanced theoretical knowledge, specialized technical skills and applied practical experience, preparing students to address and solve real challenges in the field of process automation and decision-making. To develop in students the ability to design, implement and manage innovative technological solutions in artificial intelligence and data science that improve operational efficiency, competitiveness and the social and environmental impact of the productive and service sectors, promoting digital transformation. To foster an ethical approach to decision-making and the design of technological solutions, ensuring that trained professionals consider the social, economic and environmental impacts of their work, and promote responsible and sustainable practices in the field of artificial intelligence and data science. To stimulate critical thinking, creativity, research and innovation in students, enabling them to design and develop advanced technological architectures and integrate solutions that address complex problems in an effective and multidisciplinary manner, thus contributing to the advancement of society and industry.
Admission Requirements
4 Years
Aug
Candidates are required to submit references or letter(s) of recommendation for acceptance
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:
Bachelor's Degree in Artificial Intelligence and Data Science
Universidad de Guadalajara, Guadalajara, Mexico
48 monthsProgramme duration
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Blended
To train highly qualified professionals in artificial intelligence and data science with a solid theoretical, technical and practical foundation to develop innovative solutions that contribute to the automation of processes and support the digital transformation of productive sectors, improving their competitiveness, social and environmental impact, integrating relevant ethical criteria into their performance.
Specific objectives
To provide comprehensive training in artificial intelligence and data science that includes advanced theoretical knowledge, specialized technical skills and applied practical experience, preparing students to address and solve real challenges in the field of process automation and decision-making.
To develop in students the ability to design, implement and manage innovative technological solutions in artificial intelligence and data science that improve operational efficiency, competitiveness and the social and environmental impact of the productive and service sectors, promoting digital transformation.
To foster an ethical approach to decision-making and the design of technological solutions, ensuring that trained professionals consider the social, economic and environmental impacts of their work, and promote responsible and sustainable practices in the field of artificial intelligence and data science.
To stimulate critical thinking, creativity, research and innovation in students, enabling them to design and develop advanced technological architectures and integrate solutions that address complex problems in an effective and multidisciplinary manner, thus contributing to the advancement of society and industry.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Blended
To train highly qualified professionals in artificial intelligence and data science with a solid theoretical, technical and practical foundation to develop innovative solutions that contribute to the automation of processes and support the digital transformation of productive sectors, improving their competitiveness, social and environmental impact, integrating relevant ethical criteria into their performance.
Specific objectives
To provide comprehensive training in artificial intelligence and data science that includes advanced theoretical knowledge, specialized technical skills and applied practical experience, preparing students to address and solve real challenges in the field of process automation and decision-making.
To develop in students the ability to design, implement and manage innovative technological solutions in artificial intelligence and data science that improve operational efficiency, competitiveness and the social and environmental impact of the productive and service sectors, promoting digital transformation.
To foster an ethical approach to decision-making and the design of technological solutions, ensuring that trained professionals consider the social, economic and environmental impacts of their work, and promote responsible and sustainable practices in the field of artificial intelligence and data science.
To stimulate critical thinking, creativity, research and innovation in students, enabling them to design and develop advanced technological architectures and integrate solutions that address complex problems in an effective and multidisciplinary manner, thus contributing to the advancement of society and industry.
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.
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PhD in Psychology with orientation in Quality of Life and Health
PhD in Traditional Health Psychology
PhD in Translational Nutrition Sciences
Natural Sciences (6)
Doctor of Science in Chemistry
Doctor of Science in Chemistry
Doctor of Science in Mathematics
Doctor of Science in Mathematics
Doctor of Science in Physics
Doctor of Science in Physics
Doctorate in Geography and Territorial Planning
Doctorate in Geography and Territorial Planning
Doctorate in Innovation and Sustainability in Business
Doctorate in Innovation and Sustainability in Business
Doctorate in Innovation for Sustainable Habitat
Doctorate in Innovation for Sustainable Habitat
Doctorate in Sciences for Development, Sustainability and Tourism
PhD in Behavioral Science with orientation in Food and Nutrition
PhD in Geology
PhD in Materials Science
PhD in Molecular and Translational Biochemistry
PhD in Physical-Mathematical Sciences with orientations in: Mathematics and Nanosciences
PhD in Science and Technology with orientations in: Applied Mathematics, Optoelectronics, Biomedical, Nanotechnology and Advanced Materials
PhD in Sustainable Biomaterials Science
PhD in Water and Energy
Social Sciences and Management (6)
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
Doctorate in Public Health Sciences
Doctorate in Public Policy and Development
Doctorate in Public Policy and Development
Doctorate in Social Sciences
Master-PhD in Cultural Management
PHD in Education
PhD in Cognition and Learning
PhD in Human Rights
PhD in Peace Management and Violence Prevention
PhD in Political Science
PhD in Sociocultural Studies
PhD in Territorial Socioeconomic Development