The Master in Smart Solutions & Data Science adapts to your learning pace, with two programs that can be taken independently.
Subjects
Master in Data Science & Big Data
Data Science Fundamentals
Data Science Fundamentals
Introduction to data science. Presentation of the general framework.
Statistics for Data Science
Statistics for Data Science
Review of the fundamentals of statistics necessary to master data science.
Data Science with Python
Data Science with Python
Python as a framework for data science specialist. Notebook development, use of pandas, numpy, matplotlib. Data processing from structured (CSV, REST, HSQL, Logs) and unstructured (Web, Spark, Cassandra) sources.
Big Data Fundamentals
Big Data Fundamentals
Overview of the fundamental concepts of Big Data solutions. Reference architectures and adoption models will be reviewed with the main current technologies including real-time data ingestion, analysis and visualization processes.
Data Pre-processing
Data Pre-processing
How to properly pre-process data. Application of filters, data anonymization, attribute selection, sampling and dimensionality reduction.
Data Visualization
Data Visualization
How to visualize different types of data, which techniques to use?
Advanced Data Processing
Advanced Data Processing
Data source processing (ETL/ELT). Batch processing architectures, streaming. Databases (structured and unstructured).
Predictive Analytics
Predictive Analytics
Introduction to time series analysis, review of the best available algorithms. Development of use cases for anomaly detection and series prediction.
Machine Learning I
Machine Learning I
Introduction to classification and clustering problems. How to evaluate the results? How to build the datasets? Review of the main algorithms and their application.
Entrepreneurship I
Entrepreneurship I
Discussion and discovery of new business models based on Data Science.
Final Project
Final Project
Creation of your IOT group project with the use of collected data applied to the subject of your interest or provided by one of our partner companies.
Subjects
Master in Data Science & Big Data
Data Science Fundamentals
Data Science Fundamentals
Introduction to data science. Presentation of the general framework.
Statistics for Data Science
Statistics for Data Science
Review of the fundamentals of statistics necessary to master data science.
Data Science with Python
Data Science with Python
Python as a framework for data science specialist. Notebook development, use of pandas, numpy, matplotlib. Data processing from structured (CSV, REST, HSQL, Logs) and unstructured (Web, Spark, Cassandra) sources.
Big Data Fundamentals
Big Data Fundamentals
Overview of the fundamental concepts of Big Data solutions. Reference architectures and adoption models will be reviewed with the main current technologies including real-time data ingestion, analysis and visualization processes.
Data Pre-processing
Data Pre-processing
How to properly pre-process data. Application of filters, data anonymization, attribute selection, sampling and dimensionality reduction.
Data Visualization
Data Visualization
How to visualize different types of data, which techniques to use?
Advanced Data Processing
Advanced Data Processing
Data source processing (ETL/ELT). Batch processing architectures, streaming. Databases (structured and unstructured).
Predictive Analytics
Predictive Analytics
Introduction to time series analysis, review of the best available algorithms. Development of use cases for anomaly detection and series prediction.
Machine Learning I
Machine Learning I
Introduction to classification and clustering problems. How to evaluate the results? How to build the datasets? Review of the main algorithms and their application.
Entrepreneurship I
Entrepreneurship I
Discussion and discovery of new business models based on Data Science.
Final Project
Final Project
Creation of your IOT group project with the use of collected data applied to the subject of your interest or provided by one of our partner companies.
Subjects
Master in Internet of Things
The Things Foundations
The Things Foundations
Review of all elements ranging from sensor to communications to IoT platforms.
Prototyping
Prototyping
Introduction to the main elements (sensors, boards, microcontrollers) that allow the construction of Smart connected objects. To know the most common prototype development techniques. Review of the main algorithms and their application.
Platforms
Platforms
Introduction to the fundamental concepts of IoT Platforms, reasoning, from the typical requirements of a project, about the need for an IoT platform.
Ecosystem Foundations
Ecosystem Foundations
Review of metamodels and use cases for different industries and types of companies.
Smart Cities
Smart Cities
Introduction to the fundamental concepts of connected city solutions.
Industrial IoT
Industrial IoT
Introduction to the fundamental concepts of industrial digitalization through the techniques and infrastructure of the Internet.
Smart Health
Smart Health
Introduction to the fundamental concepts of automation in the health sector through techniques related to the connectivity of objects with data networks.
Smart Home
Smart Home
Introduction to the fundamental concepts of home automation through techniques related to the connectivity of objects with data networks.
3D Printing
3D Printing
The objective of this course is to become familiar with digital manufacturing processes, in particular the 3D printing technique.
Security for IoT
Security for IoT
El objetivo del curso es introducir los conceptos fundamentales de la seguridad en los sistemas de información y específicamente su aplicación práctica en entornos IoT.
Communications
Communications
The objective of the course is to understand the different communication technologies and protocols existing in the IoT environment, their pros and cons and to be able to decide which one or which combination may be the most appropriate for a specific use case.
Blockchain
Blockchain
Introduction to the Blockchain world.
IoT Project Management
IoT Project Management
The objective of this course is to learn about the phases of project development and implementation, identify those elements to be taken into account to facilitate the execution, minimizing the foreseeable incidences found in this type of projects.
Entrepreneurship II
Entrepreneurship II
Discussion and discovery of new business models based on IoT.
Final Project
Final Project
Design of your IoT company. The theme may be proposed by the student in groups of 3 to 4 members maximum.
Subjects
Master in Internet of Things
The Things Foundations
The Things Foundations
Review of all elements ranging from sensor to communications to IoT platforms.
Prototyping
Prototyping
Introduction to the main elements (sensors, boards, microcontrollers) that allow the construction of Smart connected objects. To know the most common prototype development techniques. Review of the main algorithms and their application.
Platforms
Platforms
Introduction to the fundamental concepts of IoT Platforms, reasoning, from the typical requirements of a project, about the need for an IoT platform.
Ecosystem Foundations
Ecosystem Foundations
Review of metamodels and use cases for different industries and types of companies.
Smart Cities
Smart Cities
Introduction to the fundamental concepts of connected city solutions.
Industrial IoT
Industrial IoT
Introduction to the fundamental concepts of industrial digitalization through the techniques and infrastructure of the Internet.
Smart Health
Smart Health
Introduction to the fundamental concepts of automation in the health sector through techniques related to the connectivity of objects with data networks.
Smart Home
Smart Home
Introduction to the fundamental concepts of home automation through techniques related to the connectivity of objects with data networks.
3D Printing
3D Printing
The objective of this course is to become familiar with digital manufacturing processes, in particular the 3D printing technique.
Security for IoT
Security for IoT
El objetivo del curso es introducir los conceptos fundamentales de la seguridad en los sistemas de información y específicamente su aplicación práctica en entornos IoT.
Communications
Communications
The objective of the course is to understand the different communication technologies and protocols existing in the IoT environment, their pros and cons and to be able to decide which one or which combination may be the most appropriate for a specific use case.
Blockchain
Blockchain
Introduction to the Blockchain world.
IoT Project Management
IoT Project Management
The objective of this course is to learn about the phases of project development and implementation, identify those elements to be taken into account to facilitate the execution, minimizing the foreseeable incidences found in this type of projects.
Entrepreneurship II
Entrepreneurship II
Discussion and discovery of new business models based on IoT.
Final Project
Final Project
Design of your IoT company. The theme may be proposed by the student in groups of 3 to 4 members maximum.
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Alberto Rodriguez
Presidente
Fabiola Pérez
CEO
Oscar Fernández
Software Engineer for Data Visualization Solutions
Mikel Rufián
Global Managing Director
Juan José Beunza
Director Machine Learning Health
Jose Antonio Ondivela
Smart Cities Solutions Director
Ernesto Padilla
Data Science Consultant
See all
Learn from professionals
from world-class companies
from world-class companies
Learn from professionals
from world-class companies
from world-class companies
Diego García
CEO
Carlos Picazo
Co Founder, Strategy & Finance Leader
Alberto Rodriguez
Presidente
Fabiola Pérez
CEO
Oscar Fernández
Software Engineer for Data Visualization Solutions
Mikel Rufián
Global Managing Director
Juan José Beunza
Director Machine Learning Health
Jose Antonio Ondivela
Smart Cities Solutions Director
Ernesto Padilla
Data Science Consultant
David López
IoT/XR Solutions & Innovation Project Manager
Daniel Montilla
Head of AI
Borja Rodriguez Vila
Profesor Ayudante Doctor
Adrián De La Iglesia
Innovation Project Manager
Víctor Vaquero
Data Scientist
José Vicente Toribio
IoT Product Marketing Manager
Alvaro Montero
Head of Data
Andrés Haddad
CEO
Crisanto De Los Santos
CEO
Manuel Lopez
Senior Deep Learning Scientist
Andrés Escribano
IoT Global Business Director
Jorge Artieda
Digital Innovation Manager
David Cristóbal
Solutions Consultant
Jesús Hernando
Dr. Grupo Ingeniería de Software
Juan Benavente
CTO
Next Edition
Start date
March
2024
2024
Schedule
Wednesdays
18:30 - 22:30
Fridays
17:00 - 21:00
18:30 - 22:30
Fridays
17:00 - 21:00
Duration
10 Months
370 Hours
370 Hours
Seats
25 people
