48 monthsProgramme duration
Feb, AugStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
Other
Study Level
Undergraduate
Study Mode
Blended
The Bachelor's Degree in Artificial Intelligence and Data Science aims to train highly skilled 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, while integrating relevant ethical criteria into their performance.
- To provide comprehensive training in data science and artificial intelligence 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 data science and artificial intelligence 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 data science and artificial intelligence.
- 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 effectively and in a 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
The Bachelor's Degree in Artificial Intelligence and Data Science aims to train highly skilled 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, while integrating relevant ethical criteria into their performance.
- To provide comprehensive training in data science and artificial intelligence 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 data science and artificial intelligence 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 data science and artificial intelligence.
- 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 effectively and in a multidisciplinary manner, thus contributing to the advancement of society and industry.
Admission Requirements
The profile of an applicant for the Bachelor's Degree in Data Science and Artificial Intelligence should show:
- Interest and inclination towards mathematics and statistics.
- Logical and conceptual analysis skills.
- Interest in programming languages and the tools and techniques used in this field
- Interest in exploring new technologies, tools, techniques, and theories.
- Ability to communicate effectively both verbally and in writing.
- Ability to work collaboratively.
- Interest and willingness to learn new technologies.
- Willingness and commitment to develop and refine technical and soft skills.
4 Years
Feb
Aug
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