Technologies related to Computer Science change extremely rapidly: there is a proliferation of both software and hardware products derived from new theories, methods and techniques. These advancements result in a very high obsolescence rate in the area, leading to a significant demand for human resources from three major areas:
MCC graduates are professionals who can keep up with the rapid advancements in technology, while also contributing with innovative proposals in the field of computer science to provide solutions to the major challenges of today’s world. Master in Computer Science graduates will be able to transfer solutions to specific problems to general concepts or methodologies, and apply general computer concepts to the specific solution of problems found in business and research settings. If they so wish, they will be able to go on to study a PhD in computer science.
* Tecnológico de Monterrey is accredited by the Southern Association of Colleges and Schools Commission on Colleges to award bachelor’s, master’s, and doctoral degrees. Contact the Commission on Colleges at 1866 Southern Lane, Decatur, Georgia 30033-4097 or call (+1) 404-679-4500 for questions about the accreditation of Tecnológico de Monterrey
** See the accreditation’s validity of our programs and their benefits in accordance with CONACYT’s provisions, at Mexico’s National Quality Graduate Programs official website.
Students holding a Bachelor’s degree of areas related to computational engineering, electronics, mechatronics, biomedical, and related areas.
Depending on the selected area of specialization, students will also be able to
César Torres-Huitzil holds a Doctor degree in computer science from the National Instit...
View profile
Dr. Rangel-Escareño is a mathematician from the Universidad Autónoma Metropolitana in M...
View profile
Gilberto Ochoa Ruiz is a researcher in Computer Vision, Machine Learning and Internet o...
View profile
Hector G. Ceballos is Director of the Living Lab & Data Hub of the Institute for the Fu...
View profile
Hugo Terashima-Marín holds a BSc in Computational Systems from Tecnológico de Monterrey...
View profile
I received the B.Sc. degree in mechatronics engineering from Universidad Autónoma de Bu...
View profile
Dr. Jesus Arturo Pérez Díaz studied Computer Systems Engineering in 1995, graduating wi...
View profile
PhD in Computer Science and Artificial Intelligence. He works in the areas of Adaptive ...
View profile
Jorge Rodríguez has a Ph.D. in Engineering Science from Tecnologico de Monterrey. He ha...
View profile
I am currently a research professor at the Tecnologico de Monterrey, Mexico. My resear...
View profile
José Gerardo Tamez Peña is a Medical Imaging researcher with industrial experience in t...
View profile
Dr. Nolazco gets a BSc in Electronic System, and a MSc in Control Engineering from ITES...
View profile
César Torres-Huitzil holds a Doctor degree in computer science from the National Instit...
View profile
Dr. Rangel-Escareño is a mathematician from the Universidad Autónoma Metropolitana in M...
View profile
Gilberto Ochoa Ruiz is a researcher in Computer Vision, Machine Learning and Internet o...
View profile
Hector G. Ceballos is Director of the Living Lab & Data Hub of the Institute for the Fu...
View profileThe Lines of Generation and Knowledge Application studied in the program’s research groups are described below:
Bio-inspired Systems (Bio-inspired Algorithms)
This line of research focuses on the development, extension and modification of algorithms and methods to solve complex problems by systematizing the informal solutions in heuristic and mathematical models. Many real problems are difficult to model using mathematical tools when they grow, but nature shows us how it is possible to synthesize complexity to a function that can be solved in a practical form. However, the computational emulation of the specific problem to solve is not simple and requires deep investigation of many aspects. The techniques investigated are based on computational intelligence that includes evolutionary computation, neural networks and diffuse logic. Other techniques inspired by nature are artificial immune systems, swarming intelligence and simulated annealing. It is important to study families of problems related to optimization, design, verification and forecasting, that impact areas of application such as logistics, manufacturing, industrial processes, bioinformatics, genomics and computational finance.
Automatic Learning Models (Machine Learning)
This line of research focuses on computational learning models to predict or identify behaviors in a data set or input examples, and that leads to better decision-making. The study and development of different learning algorithms is the primary objective of this group and in which a variety of learning methods stand out, such as classification algorithms, clustering algorithms, reinforcement learning, pattern recognition, among others. How to complement the behavior of the techniques mentioned previously by others such as symbolic artificial intelligence, multi-agent systems, semantics and ontologies, and context knowledge is also being investigated. This line of research has a wide range of applications such as health, energy, security (computer science), social networks, ambient intelligence, ubiquitous computing, and it is relevant in multi-disciplinary fields such as big data, data analytics and business intelligence.
Data Science and Applied Mathematics (Data & Computer Science)
This line of research studies aspects related to data processing and statistical analysis, as well as the domain of discourse knowledge, with the purpose of extracting data knowledge, generally of large volume (big data) and which may or may not be structured. This line is complemented by the first two to structure the solutions to major problems of modern life such as food supply, water, energy, health, safety, etc.
