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Ingeniero en Ciencia de Datos y Matemáticas

IDM

B.S. in Data Science and Mathematics Engineering

A new profession for new challenges

From a contemporary perspective, mathematics is an enabling science. It provides a logically coherent framework and a universal language for process analysis, optimization and control. It is the science that makes it possible to extract knowledge from data in order to optimize outcomes and processes, and, at the same time, assures their integrity and security.
Persona con sensores

Career field

On graduating from Data Science and Mathematics Engineering, you will be able to work in diverse areas of an organization, such as:

  • Data science: analysis, research, application
  • Consulting in data analysis for decision making in companies
  • Design mathematical models for data security systems
  • Research centers in the areas of applied mathematics

 

¿Te identificas?

¿Ves lo que todo el mundo ve, pero lo analizas y piensas de forma diferente? ¿Tienes un talento natural para las matemáticas? ¿Te interesa la tecnología de vanguardia y sus fundamentos? Ésta es tu carrera.

Is this right for you?

Do you see what everybody sees, but you analyze it and think differently? Are you passionate about mathematics? Are you interested in cutting-edge technology and its foundations? This is the degree for you.

The three stages of the model
Choose your path

IDM

 

1 Exploration

  1. You will open your competency file and add to it throughout your degree program.
  2. You will learn the foundations of the area of Engineering - Applied Sciences.
  3. You will participate in fundamental and exploration challenges from the area of Engineering - Applied Sciences, interacting with peers from different degree programs.
  4. You will study general education courses, selecting them from a collection.
  5. You will participate in a challenge that integrates all the competencies to be developed in this phase.

 

2 Focus

  1. You will acquire the core competencies of your degree, in other words, those that distinguish it.
  2. You will participate in more focused challenges to reinforce what you have learned and broaden your basic knowledge.
  3. You will have the elements to decide whether to deepen your knowledge or diversify and, subsequently, build your specialization plan.
  4. The Tec Weeks, challenges and overall university experiences will enrich your file.

3 Specialization

  1. You have decided between diversifying or focusing deeply in your major, which you will achieve by choosing a concentration or a stay, to name a few of your options. The TEC Semester is a flexible time to start.

  2. You will develop the competencies related to your specialization, increasingly connected to your passions, interests and plans. 
  3. By passing a concentration, you will develop your competencies, and, on graduating, will be a candidate for obtaining a Diploma in that concentration, after meeting the established requirements.

Concentraciones

How can you specialize?

 

Concentraciones  Concentrations

Specialize in one of the different concentrations available at the campus of your choice, according to the profile you would like to develop.

Estancias  Internships

Internships allow you to participate in the development of specific projects with companies, organizations, or research groups, in a context of total immersion related to a specialty field. They can be carried out locally, nationally or internationally.

Experiencias  International experiences

Experience life outside Mexico to broaden your horizons and delve into the topics of your interest.

Materias  Courses or blocks

Choose the education units that best adapt to your objectives, enabling you to specialize in your specific interests.

Concentrations

Disciplinary

Delve into your field of study

  • Advanced Artificial Intelligence for Data Science
  • Cyber-Physical Systems
  • Cybersecurity
  • Data Science in Healthcare
  • Digital Mindset for Start Ups
  • Epidemiology for Public Health Problem Solving
  • Open Innovation and Technology Transfer
  • Operational Evolution for Industry
  • Systems and Technologies 4.0

Transversal

Delve into other fields of study

  • Conscious Business
  • Data Analytics and Artificial Intelligence Tools
  • Design, Innovation and Technological Entrepreneurship
  • Entrepreneurial Families, Sustainability and Transcendence
  • Entrepreneurship in Action
  • Financial Vision for Decision-Making
  • Government and Public Transformation
  • Mexican Culture
  • Quality of Life and Well-Being
  • Social Innovation

*These concentraciones are not the definitive offer and their availability varies by campus.

Syllabus

Plan de estudios Ingeniero en Ciencia de Datos y Matemáticas

Recurso 1 General education course

Recurso 2 Area exploration courses

Recurso 3 Introductory block (CHALLENGE)

Recurso 4 Area exploration block (CHALLENGE)

Recurso 5 Exploration topic (CHALLENGE)

Recurso 6 Track integrating block (CHALLENGE)

Recurso 7 Disciplinary course

Recurso 8 Disciplinary block (CHALLENGE)

Recurso 9 Integrating disciplinary block (CHALLENGE)

Recurso 10 TEC Semester

Recurso 11 Multidisciplinary professional elective (CHALLENGE)

Recurso 12 Final integrating block (CHALLENGE)

Download the area infographic

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IDM Infographic
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IDM
Primer Semestral
Elective Course Mathematics and Science
Engineering and Science Modeling
Modeling Movement in Science
Modeling in Science with Conservation Laws
Mathematical Thinking I
Analysis of the Structure and Properties of Matter
Computational Thinking and Programming
Segundo Semestral
Computational Biology Analysis
Elective Course Humanities and Fine Arts
Physical Experimentation and Statistical Thinking
Analysis of Electrical Systems in Sciences
Modeling of Electromagnetic Systems in Sciences
Intermediate Mathematical Modeling
Statistic Analysis
Modeling of Engineering with Computational Mathematics
Object-Oriented Programming
Tercer Semestral
Elective Course Social and Behavioral Sciences
Analysis of mathematical methods for physics
Modeling with Differential Equations
Statistical Modeling for Decision Making
Systems Modeling with Differential Equations
Fundamentals of Linear Algebra
Exploration Topic
Cuarto Semestral
Elective Course Leadership, Entrepreneurship and Innovation
Deterministic Optimization
Cryptography and Security Analysis
Data Science Analysis
Design of Intelligent Agents
Analysis of Systems Based on Knowledge
Modeling Learning with Artificial Intelligence
Quinto Semestral
Elective Course Ethics and Citizenship
Application of Multivariate Methods in Data Science
Stochastic Optimization
Application of Cryptography and Security
Analysis of Reasoning and Uncertainty Methods
Design of Bio-Inspired Mathematical Algorithms
Neural Network Design and Deep Learning
Sexto Semestral
Use of Modern Algebras for Security and Cryptography
Use of Geometry and Topology for Data Science
Numerical Analysis for Non-Linear Optimization
Séptimo Semestral
Professional Elective I
Professional Elective II
Professional Elective III
Professional Elective IV
Professional Elective V
Professional Elective VI
Octavo Semestral
Development of Mathematical Engineering Projects
Elective Multidisciplinary Professional

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