Applied Mathematics and Computer Science Program

To study in this program, you must want to learn how to learn, you must like mathematics, and you must be a curious person with the desire to study and work on applied projects that will allow finding technological solutions to real-world problems.

The assessment of risk is basic in many industries. Especially in the financial and insurance sectors, business is linked to risks that the entity takes when issuing, for example, life insurance or a home mortgage. Also, the health sector, both public and private, depends on profound knowledge of mortality, fertility and morbidity rates. Actuarial science studies these phenomena and uses mathematical concepts and tools to analyze and value risk.
 
This line of specialization will allow student to learn the mathematical methods for assessing risk, as well as for the development of computer models for this purpose.

Information is a fundamental resource, and extracting it from data is one of today’s most important tasks. The ability to extract and analyze information from databases that are so large that conventional data processing methods cannot handle them is a high priority issue for both private sector companies and public institutions, including such diverse areas as economics, marketing, social science, and biological and medical science.
 
This line of specialization focuses on the management of large databases and the mathematical, statistical and algorithmic tools for extracting from them patterns and information that are valuable for decision making.
 

All of the objects that we interact with each day, from a rock to the paint adorning our homes and even the fluids and tissues of our bodies, are made up of millions of particles that interact according to the laws of physics. By improving our understanding of these everyday systems we have been able to manipulate them and develop innumerable technologies that make our daily lives more comfortable and have even allowed us to explore from the bottom of the oceans to the stars. These systems are highly complex and require computer models to capture their behavior.

This line of specialization in scientific computing is intended to familiarize the student with the foundations of physics needed to study molecular systems and continuous media, as well as to learn how to transform theory into algorithms that, by using the most advanced techniques of scientific computation, allow the computational study of these systems.

Artificial intelligence studies the way in which cognitive processes, such as reasoning, natural language and perception, can be automated in such a way that they can be achieved by machines programmed to do so. With this aim, concepts and mathematical tools are developed and used in diverse areas, including statistics, optimization, logic, probability and other areas of knowledge such as linguistics, psychology and neuroscience.
 
The line of specialization in artificial intelligence focuses on the study, development and implementation of techniques of diverse mathematical areas and their application in the development of novel solutions to complex problems.

Today, all personal, work, medical and bank information, and even government secrets, are kept in computers. It is very important to keep this information secret and ensure that nobody else can modify it or steal our identity. This line of specialization seeks to prepare students to work in this area of data security, cybercrime prevention, cryptography, etc.