The degree program aims to train graduates with a solid scientific background in computing, statistics, and mathematics, capable of facing challenges in both the productive and academic sectors in various areas that require data modeling and management.
To meet the growing demand from public and private institutions for human resources with strong quantitative training, programming skills, critical thinking, a scientific attitude, abstraction ability, and logical dexterity.
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 equipped to work in the world of advanced technologies , Artificial Intelligence , and Data Mining . They will be able to advise institutions and organizations in the private or public sector on data management, 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 business , economics , medicine , biology , physics , agriculture , environmental science , sports , and other disciplines that require computational mathematical 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 programming , with a focus on the analysis and interpretation of data.
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 acquired knowledge into practice in a workplace where, in addition, students will receive training to perform assigned tasks. Their objective is to offer interns the opportunity to connect their theoretical knowledge with the practical realities of professional practice, develop the skills required for business operations, 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 265 hours.
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