Master in Data & Cloud Engineering

Master in Data & Cloud Engineering
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On-site

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200h

March 2024

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Master in Data & Cloud Engineering

On-site

Live Streaming

200h

March 2024

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Become a Data & Cloud Engineer
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Data Engineering is essential for any company that places data at the centre of its business strategy, which makes the Data Engineer a key player in companies.

In the Master’s Degree in Data & Cloud Engineering we teach you everything you need to know about data processing, from data collection to data exploitation and the new Cloud architectures that facilitate data access and analysis.

You will learn to design, implement and maintain data processing systems in the main Clouds -AWS, Azure, Google- combining Big Data technologies, DevOps, containers…

Why Data
& Cloud Engineer?
45.000€

The average annual salary for Cloud and Data Engineers is €45,000.

Source: Glassdoor
+450.000

There are currently more than 450,000 job openings for Cloud & Data positions worldwide.

Source: Randstad
Asignaturas
Master in Data & Cloud Engineering
200h
Cloud Fundamentals
Cloud Fundamentals
Review the fundamental concepts of Cloud Computing.
Azure Fundamentals
Azure Fundamentals
Know the features, benefits and operation of Azure as a platform for creating, running and managing applications in Clouds.
Azure Data Factory
Azure Data Factory
Learn how to use the Azure Data Factory tool in a practical and effective way, generate Data Factory pipelines and use the necessary Azure resources to scale them.
Azure Databricks
Azure Databricks
Develop the skills needed to use data and create Artificial Intelligence (AI) solutions with Azure Databricks.
AWS Fundamentals
AWS Fundamentals
Review the fundamental concepts of Amazon's suite of cloud computing tools and services.
AWS Storage
AWS Storage
Learn about the different AWS storage services.
AWS EC2
AWS EC2
Know the characteristics and ways of using Amazon Elastic Compute Cloud (Amazon EC2).
Google Cloud Platform Fundamentals
Google Cloud Platform Fundamentals
Know the Google tools available in the Cloud (Saas, Paas and Iaas) and how they work.
Arquitecturas de Datos
Arquitecturas de Datos
Design the architecture of secure and robust applications and their implementation in GCP technologies.
Bases de Datos Relacionales
Bases de Datos Relacionales
Learn how to develop data models and implement them in different relational databases.
Bases de Datos No Relacionales
Bases de Datos No Relacionales
Learn how to develop data models and implement them in different non-relational databases.
SQL
SQL
Knowledge of the SQL language, learning the latest techniques for storing, manipulating and extracting data in databases.
Big Data
Big Data
Get an overview of the fundamental concepts of Big Data solutions. Review of reference architectures and adoption models with the main current technologies including ingestion processes, analysis and visualisation of data in real time.
Advanced Data Processing
Advanced Data Processing
Learning how to process data correctly. Applying filters, data anonymisation, attribute selection, sampling and dimensionality reduction.
DevOps
DevOps
Learn the Azure DevOps methodology to improve the entire project management process within your organisation.
Contenedores
Contenedores
Learn the deployment and management system of different containers (Kubernetes, Docker...). To learn about their main applications. Be able to adapt and deploy an application in production with containers.
Data Governance
Data Governance
Know the organisational structure to support data management and handle some of the tools related to data governance.
Cloud Security
Cloud Security
Understand the technologies, controls, processes and policies that combine to protect Cloud-based systems, data and infrastructure.
Programación en Python
Programación en Python
Process data from structured (CSV, REST, SQL, Logs) and unstructured (Web, Spark, Cassandra) sources.
Proyecto Final
Proyecto Final
Create your group project applied to the subject of your interest or provided by one of our partner companies.
Asignaturas
Master in Data & Cloud Engineering
200h
Cloud Fundamentals
Cloud Fundamentals
Review the fundamental concepts of Cloud Computing.
Azure Fundamentals
Azure Fundamentals
Know the features, benefits and operation of Azure as a platform for creating, running and managing applications in Clouds.
Azure Data Factory
Azure Data Factory
Learn how to use the Azure Data Factory tool in a practical and effective way, generate Data Factory pipelines and use the necessary Azure resources to scale them.
Azure Databricks
Azure Databricks
Develop the skills needed to use data and create Artificial Intelligence (AI) solutions with Azure Databricks.
AWS Fundamentals
AWS Fundamentals
Review the fundamental concepts of Amazon's suite of cloud computing tools and services.
AWS Storage
AWS Storage
Learn about the different AWS storage services.
AWS EC2
AWS EC2
Know the characteristics and ways of using Amazon Elastic Compute Cloud (Amazon EC2).
Google Cloud Platform Fundamentals
Google Cloud Platform Fundamentals
Know the Google tools available in the Cloud (Saas, Paas and Iaas) and how they work.
Arquitecturas de Datos
Arquitecturas de Datos
Design the architecture of secure and robust applications and their implementation in GCP technologies.
Bases de Datos Relacionales
Bases de Datos Relacionales
Learn how to develop data models and implement them in different relational databases.
Bases de Datos No Relacionales
Bases de Datos No Relacionales
Learn how to develop data models and implement them in different non-relational databases.
SQL
SQL
Knowledge of the SQL language, learning the latest techniques for storing, manipulating and extracting data in databases.
Big Data
Big Data
Get an overview of the fundamental concepts of Big Data solutions. Review of reference architectures and adoption models with the main current technologies including ingestion processes, analysis and visualisation of data in real time.
Advanced Data Processing
Advanced Data Processing
Learning how to process data correctly. Applying filters, data anonymisation, attribute selection, sampling and dimensionality reduction.
DevOps
DevOps
Learn the Azure DevOps methodology to improve the entire project management process within your organisation.
Contenedores
Contenedores
Learn the deployment and management system of different containers (Kubernetes, Docker...). To learn about their main applications. Be able to adapt and deploy an application in production with containers.
Data Governance
Data Governance
Know the organisational structure to support data management and handle some of the tools related to data governance.
Cloud Security
Cloud Security
Understand the technologies, controls, processes and policies that combine to protect Cloud-based systems, data and infrastructure.
Programación en Python
Programación en Python
Process data from structured (CSV, REST, SQL, Logs) and unstructured (Web, Spark, Cassandra) sources.
Proyecto Final
Proyecto Final
Create your group project applied to the subject of your interest or provided by one of our partner companies.
Request information
Apply for admission
anaconda
matplotlib
apache spark
cassandra
python
mineo
azure
kubernetes
aws

See all

The tools you will master
The tools you will master
anaconda
matplotlib
apache spark
cassandra
python
mineo
azure
kubernetes
aws
google cloud
databricks
Diego García
CEO
Fabiola Pérez
CEO
Juan Carlos Quijano
Microsoft Certified Trainer & Devops Mentor
Laura Núñez
Cloud Community Team Leader
Clara Asensio
Data Scientist
Álvaro Zornoza
IoT & Robotics Engineer R+D
Amaya Carriba
Head of Data Governance
Miguel García
Software Craftman
Daniel Montilla
Head of AI

See all

Learn with professors from
leading companies
Learn with professors from
leading companies
Diego García
CEO
Fabiola Pérez
CEO
Juan Carlos Quijano
Microsoft Certified Trainer & Devops Mentor
Laura Núñez
Cloud Community Team Leader
Clara Asensio
Data Scientist
Álvaro Zornoza
IoT & Robotics Engineer R+D
Amaya Carriba
Head of Data Governance
Miguel García
Software Craftman
Daniel Montilla
Head of AI
Alvaro Montero
Head of Data
David Gordo
Co-Founder
Next edition
Start date
March
2024
Schedule
Wednesdays
18:30 - 22:30

Fridays
16:30 - 20:30
Duration
5 months
200 hours
Seats
25 people
Request information
Apply for admission

You are 3 steps away from becoming a Data & Cloud Engineering expert.

You are 3 steps away from becoming a Data & Cloud Engineering expert.

Step 1

Send your CV
Let us know your profile to confirm that this is the course for you.

Step 2

Interview
This is the opportunity to get to know each other and clear up any doubts you may have.

Step 3

Admission
Our admissions committee will assess your application and motivation.
Request information
Apply for admission
Some of the professional outputs that will be within your reach
Chief Data Officer
Data Engineer
Cloud Engineer
Data Architect
Cloud Architect
Request more information here
anaconda
matplotlib
apache spark
cassandra
python
mineo
azure
kubernetes
aws
google cloud
databricks
Diego García
CEO
Fabiola Pérez
CEO
Juan Carlos Quijano
Microsoft Certified Trainer & Devops Mentor
Laura Núñez
Cloud Community Team Leader
Clara Asensio
Data Scientist
Álvaro Zornoza
IoT & Robotics Engineer R+D
Amaya Carriba
Head of Data Governance
Miguel García
Software Craftman
Daniel Montilla
Head of AI
Alvaro Montero
Head of Data
David Gordo
Co-Founder
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