The career aims to train graduates with a solid scientific culture in computing, statistics and mathematics, able to face challenges both from the productive and academic sectors in different areas that require data modeling and management.
Cover the growing demand by public and private institutions for human resources with strong quantitative training, solid programming skills, critical thinking, scientific attitude, capacity for abstraction and logical skills.
With the scientific training acquired, graduates are equipped to enter the professional or academic field, in research, development, or application endeavors in any field that requires quantitative tools.
Our graduates will be trained to work in the world of advanced technologies, Artificial Intelligence and Data miningThey will be able to advise institutions and organizations in the private or public sector regarding data management. They will lead teams, manage projects, and audit legal aspects and ethical principles related to information handling.
Data Science is a field of study that combines computer science (programming, databases and algorithms) and statistical methodology, both with a solid mathematical foundation, to apply them to various areas in an ethical manner.
Data scientists work in many areas, including the business, The economy, The medicine, The biology, The Physics, The farming, environmental sciences, sports and other disciplines that require the mathematical computational modeling and sophisticated quantitative analysis.
With increasing digitization and the creation of social networks, data has become ever more ubiquitous, further expanding the demand for data scientists and their expertise in data collection, management, and analysis.
The profile of a graduate of the Bachelor's Degree in Data Science at the UA is that of a graduate who has a solid foundation in mathematics, statistics and programminga focus on data analysis and interpretation.
Graduates of the Bachelor of Science in Data Science will possess strong problem-solving skills and be able to effectively communicate their findings to non-technical audiences. They will be able to work independently and as part of a team, and will be comfortable with a wide variety of data analysis tools and techniques. In a business context, Data Scientists use their skills to analyze data and make recommendations that can improve organizational outcomes. They can work with datasets of all sizes and use their skills to identify trends and patterns. Data Scientists will also be able to develop new Machine Learning algorithms or Artificial Intelligence models to solve business problems.
Professional internships are an extension of students' academic training. They provide the opportunity to put their skills into practice. put into practice the knowledge acquired in a workplace where they will also receive training to perform the tasks assigned to them. Its objective is to offer interns the opportunity to link their theoretical knowledge with the practical reality of professional practice, develop the skills required for business tasks, familiarize them with the work environment, and contribute to the organization's achievements in their assigned area.
To fulfill this curricular requirement, the internship must have lasted at least [duration missing]. 480h.
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