Complexity Science Research Master

This program is for academics and professionals who are interested in developing applied research in complex environments in the social, economic, institutional and business fields.

Moving to the Next Stage in Research

This program is based on the unicist ontological approach that allows:
1) Managing the root causes of adaptive systems and environments
2) Designing and developing research in complex environments
3) Understanding and forecasting the evolution of adaptive processes

A Graduate Program

Characteristics
Characteristics

Development of Real Solutions

The Unicist Reflection driven Education is driven by an ontological approach to the field that is researched using a unicist action-reflection-action process based on the pilot tests of real applications. Access

The Ontogenesis of Evolution

The understanding of the ontogenetic intelligence of nature, the complementation and supplementation laws and the evolution laws are the basics to deal with the ontogenesis of evolution. Access

Complexity Science Research

Complexity Science Research​

As complex adaptive systems have no univocal cause effect relationships, their research needs to be based on real applications. Medical research is an example of this type of research. Access

Unicist Functional Research​

The functional research of adaptive environments to manage their root causes is based on discovering the underlying concepts and fundamentals using unicist ontological reverse engineering. Access

Functional Research
Destructive Testing

Destructive Testing​

To cover the possible evolution of an adaptive system, destructive tests are based on the expansion of the field of application of the solutions to know the limits of their functionality. Access

Tuition Fee: $ 9,000 + Taxes

Unicist Solutions Library
Creative Commons
Unicist Solutions Library
Creative Commons