A new profession for new challenges
Career field
On graduating from B.S. in 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
- With a degree in data science you can join research centers in the areas of applied mathematics
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? B.S. in Data Science is for you.
The B.S. in Data Science and Mathematics Engineering program is aimed at training professionals who have a solid background in statistics, applied mathematics and artificial intelligence algorithms with a special focus on mathematical modeling and computational simulation which, from the data and its analysis, allow them to solve design, optimization and decision-making problems. Its graduates apply complex mathematical models of cryptography that contribute to the security of data and computer systems. In addition, they apply numerical analysis and cognitive computation techniques with the aim of increasing the productivity and competitiveness of companies and the well-being of society. Due to their preparation, they carry out research activities, as well as postgraduate studies in science or engineering areas, or carry out research at universities and/or centers of high international prestige.
Competencies
- Build deterministic or stochastic mathematical models, supported by cutting-edge computer tools.
- Design linear and nonlinear optimization models for complex problems using computer tools.
- Analyze and process structured and unstructured data using mathematical methods, statistics, artificial intelligence and techniques consistent with data science.
- Use artificial intelligence and cognitive computing methods to solve optimization problems.
- Design complex mathematical models that contribute to data and computer system security.
- Communicate scientific and technological information in the area of mathematics applications to diverse audiences.
Entry profile
Tecnológico de Monterrey is looking for a new generation of students that have finished their high school studies and are talented, enthusiastic individuals, who are committed to the development of their environment and the wellbeing of society; people who have the potential to study an undergraduate program and become leaders with an entrepreneurial spirit, humanistic sense and competitive on an international stage.
Entry requirements: High school or equivalent.
The three stages of the model
Choose your path
Exploration
- You will open your competency file and add to it throughout your degree program.
- You will learn the foundations of the area of Engineering - Applied Sciences.
- You will participate in fundamental and exploration challenges from the area of Engineering - Applied Sciences, interacting with peers from different degree programs.
- You will study general education courses, selecting them from a collection.
- You will participate in a challenge that integrates all the competencies to be developed in this phase.
Focus
- You will acquire the core competencies of your degree, in other words, those that distinguish it.
- You will participate in more focused challenges to reinforce what you have learned and broaden your basic knowledge.
- You will have the elements to decide whether to deepen your knowledge or diversify and, subsequently, build your specialization plan.
- The Tec Weeks, challenges and overall university experiences will enrich your file.
Specialization
- 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.
- You will develop the competencies related to your specialization, increasingly connected to your passions, interests and plans.
- 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.
How can you specialize?
Concentrations
Specialize in one of the different concentrations available at the campus of your choice, according to the profile you would like to develop.
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.
International experiences
Experience life outside Mexico to broaden your horizons and delve into the topics of your interest.
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.
General education course
Area exploration courses
Introductory block (CHALLENGE)
Area exploration block (CHALLENGE)
Exploration topic (CHALLENGE)
Track integrating block (CHALLENGE)
Disciplinary course
Disciplinary block (CHALLENGE)
Integrating disciplinary block (CHALLENGE)
TEC Semester
Multidisciplinary professional elective (CHALLENGE)
Final integrating block (CHALLENGE)
| 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 |
Semester
fiber_manual_recordElective Course Mathematics and Science
fiber_manual_recordEngineering and Science Modeling
fiber_manual_recordModeling Movement in Science
fiber_manual_recordModeling in Science with Conservation Laws
fiber_manual_recordMathematical Thinking I
fiber_manual_recordAnalysis of the Structure and Properties of Matter
fiber_manual_recordComputational Thinking and Programming
fiber_manual_recordComputational Biology Analysis
fiber_manual_recordElective Course Humanities and Fine Arts
fiber_manual_recordPhysical Experimentation and Statistical Thinking
fiber_manual_recordAnalysis of Electrical Systems in Sciences
fiber_manual_recordModeling of Electromagnetic Systems in Sciences
fiber_manual_recordIntermediate Mathematical Modeling
fiber_manual_recordStatistic Analysis
fiber_manual_recordModeling of Engineering with Computational Mathematics
fiber_manual_recordObject-Oriented Programming
fiber_manual_recordElective Course Social and Behavioral Sciences
fiber_manual_recordAnalysis of mathematical methods for physics
fiber_manual_recordModeling with Differential Equations
fiber_manual_recordStatistical Modeling for Decision Making
fiber_manual_recordSystems Modeling with Differential Equations
fiber_manual_recordFundamentals of Linear Algebra
fiber_manual_recordExploration Topic
fiber_manual_recordElective Course Leadership, Entrepreneurship and Innovation
fiber_manual_recordDeterministic Optimization
fiber_manual_recordCryptography and Security Analysis
fiber_manual_recordData Science Analysis
fiber_manual_recordDesign of Intelligent Agents
fiber_manual_recordAnalysis of Systems Based on Knowledge
fiber_manual_recordModeling Learning with Artificial Intelligence
fiber_manual_recordElective Course Ethics and Citizenship
fiber_manual_recordApplication of Multivariate Methods in Data Science
fiber_manual_recordStochastic Optimization
fiber_manual_recordApplication of Cryptography and Security
fiber_manual_recordAnalysis of Reasoning and Uncertainty Methods
fiber_manual_recordDesign of Bio-Inspired Mathematical Algorithms
fiber_manual_recordNeural Network Design and Deep Learning
fiber_manual_recordUse of Modern Algebras for Security and Cryptography
fiber_manual_recordUse of Geometry and Topology for Data Science
fiber_manual_recordNumerical Analysis for Non-Linear Optimization
fiber_manual_recordProfessional Elective I
fiber_manual_recordProfessional Elective II
fiber_manual_recordProfessional Elective III
fiber_manual_recordProfessional Elective IV
fiber_manual_recordProfessional Elective V
fiber_manual_recordProfessional Elective VI
fiber_manual_recordDevelopment of Mathematical Engineering Projects
fiber_manual_recordElective Multidisciplinary Professional