Universidad de los Andes

Master in Data Analytics Intelligence MIAD

The online program in Data Analytics Intelligence (MIAD) trains professionals who stand out for their technical and cutting-edge skills at the intersection of three areas of knowledge: mathematical modeling, information technologies and business management. Students learn through courses that balance theory and practice computational methods for data management, application of descriptive, predictive and prescriptive models that allow them to become leaders in Analytics that support decision making. In addition, students continually develop their soft skills in communication, teamwork and project management, necessary to make transformations that generate value in their organizations.

Currently, profiles related to analytics are the most in demand in the global labor market. Organizations around the world agree that some knowledge such as analytical reasoning, artificial intelligence, cloud computing and data-based project management are essential to succeed and differentiate themselves in the market.

The program is offered in Spanish and 100% online. Students receive the same quality standards offered in in-person programs and the same master's degree that Universidad de los Andes offers in its in-person programs. The virtual format allows students to continue working full time and continue their professional career. Being an online master's degree, it gives students the flexibility to learn when and where they want.

What will make this program unique

The most in-demand professions are related to Analytics

This program is structured for professionals, not necessarily from STEM areas, with basic knowledge in programming and statistics, who will be trained to address business questions that require analyzing a high volume and complexity of data to support decision-making processes, creation of competitive advantages and generation of value. More than 90% of global CEOs consider analytics to be strategically important and 68% believe it is the best way to create value for their stakeholders (PwC, 2016).

Close collaboration Academia - Industry

Uniandes works together with recognized public and private sector organizations and in alliance with the best universities in the world to be at the forefront of analytics knowledge and its application. This is why students take their knowledge to real problems, and are guided in this process by a teaching team that knows the demands of the market and has experience in addressing them with methods based on data analysis.

Access to the top 1% of universities in the world

In the last decade, Uniandes has been among the 10 best universities in Latin America and is currently the fifth university in the region and number 236 in the world, according to the QS 2022 ranking. The Universidad de los Andes was the first private university in Colombia than in receiving a high-quality institutional accreditation for ten years from the Ministry of National Education.

Be part of the first virtual master's degree in data analytics intelligence in Spanish offered by one of the best universities in Latin America.

This program has been designed for professionals, not necessarily from STEM areas (science, technology, engineering and mathematics, for its acronym in English), with basic knowledge in programming and statistics, who will be trained to address those business questions that require analysis. of a high volume of data and the management of its complexity to support decision-making processes, the creation of competitive advantages and the generation of value.

This program will be aimed at people with a professional degree interested in:

Lead high-impact analytical intelligence projects in organizations.

Build descriptive, predictive, and prescriptive mathematical models for decision making.

Extract, transform and load data from structured and unstructured sources with technologies for managing large volumes of data and cloud computing.

Learn about technological tools such as computer languages, analytics libraries, database and server management.

Analyze, synthesize and effectively present the results of analytical models with visualization and storytelling techniques.

Although it is advisable to know how to program in a language and have basic knowledge of probability and statistics, candidates will be recommended leveling routes to acquire this fundamental knowledge and skills.