Specialization in

Analytics and Data Science

About the program

The program is focused on training professionals with commitment and social responsibility, knowledge in the development and improvement of analytics and data science processes of large volumes of information that involve emerging technologies that support decision-making, information classification and automation of administrative processes from a translocal and transmodern perspective.

Program Objectives

The program's objective is to train transhuman professionals for life, democratic values, civility, and freedom, with knowledge that makes it possible to understand and analyze problems or situations in analytics and data science and their integration with emerging technologies for application in various sectors.

General information

Get to know the information that will help you take your next step.

1.5 K

+ 1.500

Graduated students

Institution

University of Cundinamarca.

Program Name

Specialization in Analytics and Data Science.

Degree to be awarded

Specialist in Analytics and Data Science.

Educational level

Postgraduate.

Type of training

University Professional.

Methodology

Information on classes: synchronous and asynchronous meetings from Monday to Friday from 6:00 pm to 10:00 pm and Saturday mornings.

Academic Credits

20 credits.

Estimated duration

2 semesters.

Investment

4.5 SMLM V per semester. 40% discount applies for graduates and/or 10% with voter registration certificate. Discounts are cumulative.

Location of development

Virtual

Resolutions: SNIES 117565 - Resolution No.023876 of December 5, 2024 MEN.

Professional profile

The graduate of the Specialization in Analytics and Data Science from the University of Cundinamarca is a professional capable of developing processes of organization, standardization and analysis of large volumes of data, through the application of technological tools, which allow the design and construction of descriptive and predictive scenarios.

Occupational profile

The specialist in Analytics and Data Science from the University of Cundinamarca will be able to work in the fields of:

+ Director of areas or departments that require processing large amounts of data.

+ Consultant or advisor to companies in the processing of large volumes of information.

+ Design solutions from computing and analytics for problems related to data processing.

+ Director of research or development projects that include data processing and analytics.

Entry profile

Applicants to the Specialization in Analytics and Data Science program must have a professional degree, possess a professional interest in data science and the development of solutions based on analytics and technology knowledge to support decision-making in organizations based on large volumes of information.

Mission and Vision

Mission: To train transhuman professionals committed to the construction, management and transfer of knowledge in the areas of analytics and data science to contribute to the development of relevant solutions that drive and consolidate the development of different translocal application sectors.

Vision: By 2030, the Specialization in Analytics and Data Science program will consolidate training and learning processes; science, technology and innovation; and university social interaction, making it a regional and national benchmark for its social relevance and disciplinary importance in the development and improvement of analytics and data science processes involving large volumes of information, including emerging technologies that effectively contribute to the consolidation of development in various sectors from a translocal and transmodern perspective.

Learning path

View the subjects and phases that make up your postgraduate program.

Big Data
Introduction to Machine Learning
Statistical design for structured and unstructured data
21st Century Generation Lecture Chair
Foreign language at the CEFR level B2

Data-driven project management
Business Analytics BA
Data Mining
Machine Learning Application
Science, Technology and Innovation

Program Objectives

Duration	2 semesters
Degree	Specialist in Analytics and Data Science
Investment	Methodology: Information on classes: synchronous and asynchronous meetings from Monday to Friday from 6:00 pm to 10:00 pm and Saturday mornings. Investment: 4.5 SMLM V per semester. 40% discount applies for graduates and/or 10% with voter registration certificate. Discounts are cumulative.
Payment methods	Bank payment, PSE, card or ICETEX Loan
Methodology	Virtual
Qualified status	Resolution No. 023876 of December 5, 2024 MEN. Faculty Faculty of Engineering.
Academic credits	20 Credits

Jorge Rico Rodríguez

Program Coordinator

[email protected]

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