Virtual Data Science Engineering

Professional Profile

Applicant Profile

Consider the following characteristics to study Data Science Engineering:

○ You are dynamic and willing to work in a team and self-learn, with basic skills in mathematics, literacy, communication, and basic ICT management, which allow you to acquire the competencies inherent to the professional level.

Occupational Profile

As a Data Science Engineer, you will be able to perform in the following areas:

○ Big Data and advanced business analytics project manager.

○ External consultant.

○ Big Data Analytics infrastructure manager in the ICT area.

○ Chief Data Officer.

○ Data analyst.

○ Big Data and data science solutions architect.

Why study with us?

Flexibility: that makes student training relevant, meaningful, and accessible by respecting their interests, learning styles, and rhythms of knowledge acquisition.

Socio-Cultural relevance: that responds to the adaptation of universal knowledge to its own cultural idiosyncrasies, to the economic possibilities of appropriation, and to the relevance of particular social applications, without excluding the community's own knowledge.

Research Training: that embraces and promotes student participation and inclusion in various projects, allowing them access to the research media specific to the disciplines.

Theory-practice articulation: understood as the articulation of theories, principles, and models with demonstrative, experimental, and field experiences.

Self-regulation of learning: the possibility for students to be trained in conditions of freedom and autonomy within a clear ethical sense.

Motivation: the constant awakening of knowledge and challenges faced by teacher-tutors and students in a globalized world.

Collaboration: the way of sharing knowledge with other peers and academic communities to work together and strengthen bonds of support, social, and emotional skills.

Program Objective

We train Data Science professionals capable of producing large volume data warehouses taken from different sources to be applied in technological projects. They develop software applications that support decision-making based on artificial intelligence for data management. Able to implement functional tools for the integration of projects that use Big Data and data science to solve problems in the country's industrial sector. They foster scenarios for the generation of new knowledge through the development of observational, interventional, reflective, and/or research processes that allow the practitioner to understand the multidimensionality of their discipline. They identify options for building their life project by linking entrepreneurship, diversity, and ethics. They apply techniques and procedures for business intelligence framed in legal factors. Able to analyze different ways of transmitting information through the elaboration of written texts. They recognize the importance of applying knowledge in different social and economic spaces. Able to understand abstract concepts that allow reasoning and relationships between concepts to provide order and meaning to actions. They facilitate the use of technological tools with a critical, active, and applicable attitude. They build applied research projects solving problems using technological resources. Able to implement abstract and mathematical procedures that support the scientific application of professional activities in engineering.

General Information

The Data Science Engineer is capable of capturing, acquiring, managing, and manipulating large volumes of data taken from different sources to perform analysis based on mathematical models using artificial intelligence techniques in order to provide comprehensive solutions that allow different economic sectors and society in general to make decisions based on information, framed in the highest quality and ethical standards, taking into account diversity and the environment in which the participant operates, transcending globally through knowledge.

Curriculum

Semester 1