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