Data

Engineering

Everyday we share large amounts of information with one another, whether it is in the form of an SMS, a post on our favorite social network website, or the GPS location of our favorite restaurant. All this information can be very valuable, if we know how to collect and manage it.

Objective

To develop well qualified, knowledgeable bilingual engineers adept at collecting massive amounts of data, and processing it in real time. This includes, but is not limited to optimization, data filtering, organization and the development of products capable of deriving valuable information from data sets that can later be utilized in decision-making, at a scientific and technological level, across different fields, industries and businesses.

Functional Areas  of Development

●    Project Engineering
●    Technological service
●    Training and advice
●    Data modeling
●    Strategic decision making
●    Digital interconnection
●    Domotics
●    Smart cities

Profile of Graduates

Engineering graduates from the UPY specializing in the field of Data will be well qualified, knowledgeable bilingual engineers adept at collecting massive amounts of data, and processing it in real time. This includes, but is not limited to optimization, data filtering, organization and the development of products capable of deriving valuable information from data sets that can later be utilized in decision-making, at a scientific and technological level, in the areas of Digital Economy, Advanced Population Analysis, Data Science and the Internet of Things.

Curricular Structure

Training Model

Academic Curricula

(Plan 2018)

Propedeutic semester

Propedeutic of total immersion in the English language.

  • Listening Workshop

  • Grammar workshop

  • Reading Workshop

  • Writing Workshop

 

First quarter

  • English I

  • Linear algebra

  • Basic chemistry

  • Algorithm Fundamentals

  • Introduction to Data Engineering

  • Physical

  • Oral and written expression I

 

Second term

  • English II

  • Human development and values

  • Math functions

  • Probability and statistics

  • Computer architecture

  • Programming

  • Discrete mathematics

 

Third semester

  • English III

  • Emotional intelligence and conflict management

  • Diferential calculus

  • Data structure

  • Data pre-processing

  • Statistical models

  • Programming paradigms

Fourth semester

  • English IV

  • Cognitive skills and creativity

  • Integral calculus

  • Electricity and magnetism

  • Algorithmic analysis 

  • Database administration

  • Professional Stay I

 

Fifth quarter

  • English v

  • Professional ethics

  • Mathematics for Engineering

  • Software Engineering

  • Massive data management

  • Server architecture

  • Information management

 

Sixth quarter

  • English VI

  • Managerial skills

  • Mathematics for Engineering II

  • Physics for engineering

  • Investigation methodology

  • Data mining

  • Database security

 

Seventh four-month period

  • English VI

  • Leadership of high performance teams

  • Automata languages

  • Internet of Things (IoT)

  • Supervised learning

  • High performance computing

  • Professional Stay II

Eighth term

  • English VII

  • Analysis of social networks

  • Projects management

  • Unsupervised and Reinforcement Learning

  • Requirements Engineering

  • Predictive systems

  • Visualization tools  

  

Ninth semester

  • English IX

  • Trends in data science

  • Natural Language Processing

  • Business intelligence

  • Visual information modeling

  • Digital economy

  • Oral and written expression II

 

Tenth quarter

  • Professional stay