Establish the conditions that must be met and replicated to optimize data utilization and quality” 

This postgraduate diploma will lay the foundations of knowledge computer engineers must have when managing data structures, focusing on typology and life cycle. For this reason, valuable statistical information will be provided, fundamental to better understand the process of extraction, analysis and synthesis.
 
It is also necessary to establish the importance of new technologies such as IoT, Internet of Things.  Such technologies have been revolutionary in their ability to convert simple and inert objects into objects that interact and connect to the Internet. That is how they have become a technological solution for companies seeking to create an ecosystem that enables industrial solutions.  

Finally, the technologies and tools on the market will be addressed, examining the principles of the most important components in a system designed to meet the challenge of big data. At the end of the program, engineers will be equipped with specialized knowledge of the different possibilities when designing distributed systems, the advantages and penalties involved in choosing tools or technologies over others, which requires understanding their components. 

All of the above is complemented by a 100% online program, which can be studied at our students' convenience, wherever and whenever it suits them. All you need is a device with Internet access to take your career one step further. A modality in accord with the current times and all the guarantees to position engineers in a highly demanded field.

Establish the conditions that must be met and replicated to optimize data utilization and quality” 

This postgraduate diploma in Information Use in Data Science contains the most complete and up-to-date academic program on the market. The most important features of the program include:   

• Practical cases studies are presented by experts in Engineering in data analysis 
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice  
• Practical exercises where the self-assessment process can be carried out to improve learning  
• Its special emphasis on innovative methodologies   
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments  
• Access to content from any fixed or portable device with an Internet connection 

Develop partitioning methods and distributed transactions with a program that will enhance your professional aptitude” 

The program’s teaching staff includes professionals from sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive training programmed to train in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. This will be done with the help of an innovative, interactive video system developed by renowned experts with extensive personal training experience.

Examine the different IoT Cloud platforms: General purpose, industrial, open source"

Analyze the key functionalities for distributed systems and their importance in different types of systems"

This postgraduate diploma is the best option for computer engineers who wish to Information Use in Data Science use. Students will be presented with a series of general and specific objectives that will guide their learning at all times, allowing them to determine the best practices for data management according to typology and use. And they will thus be able to take the knowledge acquired in the program to their work practice. 

Develop your skills with a postgraduate diploma focused on enhancing your professional profile in determing the requirements of a massive data usage system”  

General Objectives

• Analyze the benefits of applying data analytic techniques in every company department  
• Develop the basis for understanding the needs and applications of each department  
• Generate specialized knowledge to select the right tool  
• Propose techniques and objectives in order to be as productive as possible according to the department 

Specific Objectives

Module 1. Data and Information Management and Manipulation in Data Science 

• Perform data analyses 
• Unify diverse data: Achieving consistency of information 
• Produce relevant, effective information to aid decision-making 
• Determine the best practices for data management according to typology and use 
• Establish data access and reuse policies 
• Ensure security and availability: information availability, integrity and confidentiality 
• Examine data management tools using programming languages 

Module 2. Devices and IoT platforms as a base for Data Science 

• Define what is meant by IoT (Internet of Things) and IIoT (Industrial Internet of Things) 
• Review the Industrial Internet Consortium 
• Analyze what the IoT reference architecture is  
• Address IoT sensors and devices and their classification  
• Identify the communications protocols and technologies used in IoT 
• Examine the different IoT Cloud platforms: general purpose, industrial, open source  
• Develop data exchange mechanisms  
• Establish security requirements and strategies  
• Present the different IoT and IIoT application areas 

Module 3. Architecture and Systems for Intensive Use of Data 

• Determine the requirements for mass data usage systems 
• Examine different data models and analyze databases 
• Analyze the key functionalities for distributed systems and their importance in different types of systems 
• Evaluate which among the widely used applications use the fundamentals of distributed systems to design their systems 
• Analyze how databases store and retrieve information 
• Understand the different replication models and associated issues 
• Develop partitioning and distributed transactions 
• Assess batch systems and (near) real time systems  

This program the perfect opportunity to grow professionally in a field of great international demand”