To train experts capable of extracting implicit and complex knowledge, potentially useful from large data sets, using methods of artificial intelligence, machine learning, statistics, database systems, and mathematical models on probable behaviors, to support senior management decision-making.

Students entering the Instituto Politécnico Nacional, in any of its programs and levels, must have the basic knowledge and skills that guarantee an adequate performance at the level to which they apply for admission. Likewise, they must have the necessary attitudes and values to take responsibility for their formative process and assume an active position in the study and development of the projects and work required, coinciding with the ideology and principles of the IPN.

The Data Science graduate will be able to extract implicit and complex, potentially useful knowledge (discovery of patterns, deviations, anomalies, outliers, interesting situations, trends) from large data sets. Use the methods of artificial intelligence, machine learning, statistics, and database systems for making senior management decisions, based on data and mathematical models on probable, desirable, and undesirable behaviors, participating in collaborative and interdisciplinary work dynamics with ethical sense and social responsibility.

The requirements to become a student at the Institute are:

1. To comply with the academic background and other requirements indicated in the respective call for applications.
2. To take the admission exam for higher education.
3. To be selected for admission.

This professional will be able to work in the public and private sectors in occupational fields such as those listed below:

• MARKETING: Trend analysis, targeted advertising, preference analysis.
• HEALTH: Epidemiology, coverage analysis, drug market analysis.
• FINANCE: Fraud detection, investment analysis, market analysis, credit profiling, risk analysis.
• BIOINFORMATICS: Genetic modeling, agronomic modeling.
• ENERGY: Market analysis, Load dispatching, consumption analysis.
• ELECTRONIC COMMERCE: Logistics, Geographic Information.
• TRANSPORTATION: Infrastructure and service planning, traffic modeling, geolocations.
• EDUCATION: Educational planning and evaluation.
• BUSINESS: Financial planning, market planning, production planning, production planning.
• SECURITY: Trend analysis, geostatistical analysis, crime analysis.
• CIVIL PROTECTION: Risk mapping, prevention strategies.

Check the list of subjects, credits and total hours of the program in:

• ESCOM
• UPIIT Campus Tlaxcala