Study Plan - Data Science

• Bachelor's
• Data Science

When you finish all units of your education program, you will receive a Diploma and a Professional License, as well as a bachelor’s degree endorsed by SACSCOC that is recognized worldwide.

Accredited and Consolidated Institution.
Registered in Group 3 of the Institutional Improvement Program.

First Term

Second Term

Third Term

Fourth Term

Fifth Term

Sixth Term

Seventh Term

Eighth Term

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Objective

Train highly qualified professionals in the analysis and management of large volumes of data, with a solid foundation in statistical analysis, mathematical models, programming and advanced data science techniques such as artificial intelligence, neural networks, machine learning and data visualization. All of this in a physical and virtual learning environment, seeking to develop critical, creative and innovative experts capable of facing contemporary technological and social challenges, contributing to the equitable development and scientific advancement of globalized society.

Graduate profile

The Data Science’s teaching learning process is based on competencies. This focus includes knowledge, skills and attitudes, thus training ethical professionals who can respond to data science needs and requirements in a globalized world.

• Master Data Science methodologies with statistical analysis and information management to create solutions that benefit society.
• Apply probability tools to relate random phenomena with contextual variables, proposing effective solutions and showing an attitude of service.
• Interpret results of statistical and mathematical techniques responsibly, using technological and digital tools to make informed decisions.
• Select appropriate computer tools according to the needs of the project, identifying patterns and ensuring honest and specific solutions.
• Design databases with models, query and optimization languages, using ethical tools to establish analysis strategies.
• Effectively manage learning through digital resources, optimizing your professional development process.

Explore everything that studying Data Science has to offer.

Recommended Computer Specifications

These specifications are provided as a general guideline, reflecting the average requirements of the academic software currently in use at the institution. Please note that the university is not responsible for any individual decisions made regarding computer equipment.