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This graduate program

Develops mathematical models to propose innovative solutions, based on data analysis, that improve people's quality of life and positively impact decision-making in companies or organizations to improve their efficiency and competitiveness.

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iteso

Program director

Rocío Carrasco Navarro, Ph.D  
She holds a Ph.D and Master of Science in Electrical Engineering from the Center for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute, Guadalajara Unit. Bachelor of Science in Communications and Electronics from the University Center for Exact Sciences and Engineering (CUCEI) of the University of Guadalajara.
She is a member of the National System of Researchers, level I.

iteso
iteso

Contact information:


33 3669 3434, ext. 3236
maestriadatos@iteso.mx


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Meet the faculty

Reasons to study

this master's degree


You focus your training on problem-solving, project development and case studies, with an approach to immediate or near-term application.


You join a program focused on resource efficiency and sustainability, while analyzing the ethical dilemmas surrounding the acquisition and management of information.


You receive guidance from a faculty body with national and international recognition, including members affiliated with Secihti’s National System of Researchers (SNII).

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Mission and vision

Educational objectives

A program built for professionals like you

Admission profile
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This master's program is open to professionals:
  • With skills in computer systems programming and who wish to acquire skills and abilities in mathematical and statistical methods for data analysis.
  • With an interest in generating statistical information that influences decision-making in favor of society, specifically with a focus on industry, energy, the environment, or social indicators.
  • They seek to quantitatively analyze what is happening and want to find the reasons that explain the problems or processes.
  • With an interest in solving problems, streamlining processes, visualizing possible scenarios to face, as well as identifying and quantifying the factors that positively or negatively affect organizations and projects.
  • That they have completed a degree related to engineering, economics, finance, administration and mathematical and natural sciences, with skills and abilities in mathematics, statistics and algorithm development.
Graduate profile
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Upon completion of the master's program you will be able to:
  • Create reliable processes for the acquisition and use of data in environments where historically its collection has been deficient or nonexistent.
  • To interpret and efficiently process information using mathematical models that allow understanding of problems, as well as the behavior of people, processes and activities in organizations.
  • Interpreting data based on the formulation of mathematical models for the detection and prediction of patterns and integrating mathematical methods and procedures with modern computational techniques to make sense of information in various areas of human activity.
  • Develop an objective, analytical and projective vision of probable scenarios and thereby propose possible alternative solutions.
  • Estimate the impact of possible decisions on both society and the organization.


Career Opportunities

  • National and international companies.
  • Areas of business intelligence and predictive models.
  • Universities.
  • Research centers.
  • Government bodies.
  • Civil organizations.

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The Lines of Knowledge Generation and Application (LGAC) are the thematic fields that characterize the program. They bring together the research or professional work trajectories of professors and students, from a systemic perspective of generating new knowledge or its application, according to their nature and approach.

The Lines of Knowledge Generation and Application of this postgraduate program are:

Development of information architectures based on matrix schemas that also reduce data dimensionality while preserving critical information. This involves identifying information characteristics, the necessary data cleansing processes, and visualization. It is essential to understand the fundamentals of mathematical modeling through information characterization in initial regression models and the principles that enable simulation and initial model calibration. Distribution and design of information architectures.

This approach focuses on the nature of the problem and identifying it as either a classification or a regression-forecasting case. It also requires understanding that both classification and forecasting encompass different model families, and that fitting these models to the data is an optimization process.

Developing skills for creating models with greater predictive capacity, such as universal approximators and nonlinear mappings. To complement the training, it is suggested to analyze models based on the Bayesian approach.

Lines of Knowledge Generation and Application

The Lines of Knowledge Generation and Application (LGAC) are the thematic fields that characterize the program. They bring together the research or professional work trajectories of professors and students, from a systemic perspective of generating new knowledge or its application, according to their nature and approach.

The Lines of Knowledge Generation and Application of this postgraduate program are:

Development of information architectures based on matrix schemas that also reduce data dimensionality while preserving critical information. This involves identifying information characteristics, the necessary data cleansing processes, and visualization. It is essential to understand the fundamentals of mathematical modeling through information characterization in initial regression models and the principles that enable simulation and initial model calibration. Distribution and design of information architectures.

This approach focuses on the nature of the problem and identifying it as either a classification or a regression-forecasting case. It also requires understanding that both classification and forecasting encompass different model families, and that fitting these models to the data is an optimization process.

Developing skills for creating models with greater predictive capacity, such as universal approximators and nonlinear mappings. To complement the training, it is suggested to analyze models based on the Bayesian approach.

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A Rich Graduate Experience

ITESO’s graduate programs are supported by a renowned academic faculty comprising leading experts in their fields, who are actively engaged in real-world projects that offer concrete solutions. The university boasts over 100 researchers, 79 of whom are affiliated with Mexico’s National System of Researchers (SNII). Some are also members of the Mexican Academy of Sciences.

Research at ITESO generates new, rigorous, and relevant knowledge focused on some of the region’s and country’s most pressing challenges. Areas of impact include human rights, access to justice, renewable energy, sustainable resource management, food security, mental health and well-being, quality education, data science, and public communication, among others. These programs aim to offer development alternatives, influence public policy, foster technological innovation, and promote socially impactful projects.

One of the key advantages of ITESO’s graduate programs is the opportunity for international academic exchange through alliances with the International Association of Jesuit Universities (IAJU), a global network of over 320 institutions. Additionally, programs supported by Conacyt offer research stays in Mexico and abroad for fieldwork, study, or the completion of research projects.

Sustainability is an institutional priority that drives research, education, and community engagement projects at ITESO. These initiatives aim to develop comprehensive, long-term strategies for ecosystem stewardship that are in harmony with local communities. ITESO’s campus is one of the most sustainable in the country, and among the few in the world with a protected forest on its grounds.

ITESO offers access to more than 100 specialized laboratories in areas such as nanotechnology, data science, food engineering, mechatronics, biotechnology, chemistry, systems, communication, multimedia, languages, nutrition, neuromarketing, arts, building technologies, and more. Facilities also include simulated courtrooms, exhibition spaces, mediation rooms, and audiovisual projection labs.

ITESO’s lectures foster dialogue, critical thinking, and the exchange of ideas across sectors. They provide spaces for collaboration between academia, industry, and civil society, aimed at generating knowledge with high social impact. These initiatives also strengthen academic networks and support faculty and student mobility.

With more than 80 active academic journals and a robust catalogue of books, ITESO leads private universities in the region in scholarly publishing. Publications cover diverse disciplines, promote interdisciplinary collaboration, and are widely accessible—many available for free download online.

ITESO holds the most significant number of industry collaboration agreements among private universities in western Mexico. The university also offers dual-degree programs with institutions such as the University of Koblenz (Germany), Boston College, and Central Michigan University (USA).

ITESO’s library houses more than 640,000 physical volumes and 200,000 digital resources, including books, journals, blueprints, films, and a collection of rare and antique books. Open to the public, the library features reading rooms, exhibition spaces, a cinema, an agora, a material library, and collaborative workspaces.

ITESO offers expert consulting and support for businesses at all stages of development through the Center for Innovation and Technology Management, the High-Impact Social Innovation Center, and the University-Business Center. Graduate students engage in projects focused on entrepreneurship, innovation, business acceleration, solidarity economies, and fair trade alternatives.

ITESO’s graduate programs are supported by a renowned academic faculty comprising leading experts in their fields, who are actively engaged in real-world projects that offer concrete solutions. The university boasts over 100 researchers, 79 of whom are affiliated with Mexico’s National System of Researchers (SNII). Some are also members of the Mexican Academy of Sciences.

Research at ITESO generates new, rigorous, and relevant knowledge focused on some of the region’s and country’s most pressing challenges. Areas of impact include human rights, access to justice, renewable energy, sustainable resource management, food security, mental health and well-being, quality education, data science, and public communication, among others. These programs aim to offer development alternatives, influence public policy, foster technological innovation, and promote socially impactful projects.

One of the key advantages of ITESO’s graduate programs is the opportunity for international academic exchange through alliances with the International Association of Jesuit Universities (IAJU), a global network of over 320 institutions. Additionally, programs supported by Conacyt offer research stays in Mexico and abroad for fieldwork, study, or the completion of research projects.

Sustainability is an institutional priority that drives research, education, and community engagement projects at ITESO. These initiatives aim to develop comprehensive, long-term strategies for ecosystem stewardship that are in harmony with local communities. ITESO’s campus is one of the most sustainable in the country, and among the few in the world with a protected forest on its grounds.

ITESO offers access to more than 100 specialized laboratories in areas such as nanotechnology, data science, food engineering, mechatronics, biotechnology, chemistry, systems, communication, multimedia, languages, nutrition, neuromarketing, arts, building technologies, and more. Facilities also include simulated courtrooms, exhibition spaces, mediation rooms, and audiovisual projection labs.

ITESO’s lectures foster dialogue, critical thinking, and the exchange of ideas across sectors. They provide spaces for collaboration between academia, industry, and civil society, aimed at generating knowledge with high social impact. These initiatives also strengthen academic networks and support faculty and student mobility.

With more than 80 active academic journals and a robust catalogue of books, ITESO leads private universities in the region in scholarly publishing. Publications cover diverse disciplines, promote interdisciplinary collaboration, and are widely accessible—many available for free download online.

ITESO holds the most significant number of industry collaboration agreements among private universities in western Mexico. The university also offers dual-degree programs with institutions such as the University of Koblenz (Germany), Boston College, and Central Michigan University (USA).

ITESO’s library houses more than 640,000 physical volumes and 200,000 digital resources, including books, journals, blueprints, films, and a collection of rare and antique books. Open to the public, the library features reading rooms, exhibition spaces, a cinema, an agora, a material library, and collaborative workspaces.

ITESO offers expert consulting and support for businesses at all stages of development through the Center for Innovation and Technology Management, the High-Impact Social Innovation Center, and the University-Business Center. Graduate students engage in projects focused on entrepreneurship, innovation, business acceleration, solidarity economies, and fair trade alternatives.

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Research at ITESO

“Universities are called to be places of possibilities — to open horizons through research and engagement”.

Arturo Sosa, SJ

 

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