To understand concepts such as Internet of Things, Artificial Intelligence or Big Data it is necessary to put them into practice. At TECH we are committed to accompany you in the development of real use cases"

The Internet of Things is one of the major technology trends of our century. Multinationals from all sectors are investing heavily in this field. This only highlights the need for qualified profiles, which are currently in short supply. Therefore, in postgraduate diploma in New Technologies degree you will learn the characteristics, advantages, challenges and solutions presented by the current IoT paradigm.

In the field of Artificial Intelligence, the most advanced AI systems currently in existence will be presented. The student will also acquire a broad and complex set of skills required in this field. But above all, you will be instructed in the latest AI development techniques to stay ahead of industry developments.

The third axis around which the agenda will revolve is Big Data. Graduates will take an in depth look at the opportunities it offers, the needs it meets, the practical applications it has in the real world and how to maintain data integrity. A section has also been reserved for visualization and analytics, two elements closely related to decision making in a business.

The degree will be taught 100% online and without timetables. It can be accessed from any device with an internet connection. In addition, the entire syllabus will be available from day one. The intention behind this methodology is that the student is the one who establishes his or her own schedule, thus facilitating personal and work conciliation.

How does Siri work? Is it possible to develop a smart car? These and many other questions are answered by the degree of postgraduate diploma in New Technologies"

This postgraduate diploma in New Technologies contains the most complete and up to date educational program on the market. The most important features include:

• The development of case studies presented by experts in new technologies
• 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

Working with large databases can be tedious. At TECH, we offer you the right tools to perform data analysis in a comfortable and efficient way"

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 system of interactive videos made by renowned experts.

Companies are increasingly demanding profiles capable of working with and interpreting large data banks. At TECH, we show you how"

Learn all the keys to the world of robotics thanks to our expert teachers in Artificial Intelligence"

The main objective of the postgraduate diploma in New Technologies degree is to define the concepts around which the current technological ecosystem is being built. The graduate student will have worked on real use cases associated with the Internet of Things Defining an architecture and evaluating its suitability based on the IoT solutions offered by the market. In the field of Artificial Intelligence, they will be able to formalize and design automatic reasoning systems, as well as implement machine learning techniques in prediction problems. Finally, in terms of Big Data you will learn to define the different forms of existing storage or to establish the minimum privacy requirements necessary in the access and use of information, among others.

TECH will accompany you in the process of developing a real use case in the field of the Internet of Things"

General Objectives

• Developing a use case associated with IoT
• Define a high-level architecture of an IoT use case
• Evaluate the suitability of the use of IoT solutions
• Demonstrate knowledge of IoT solutions on the market and how they are built
• Generate specialized knowledge on the application and advanced techniques of intelligent systems and their practical application
• Formalize and design automatic reasoning systems
• Implement and apply machine learning techniques in prediction problems
• Identify the benefits of analyzing and exploiting data for decision-making
• Analyze the course of the data from its origin to its exploitation
• Define the different forms of storage in which the information can be stored, taking into account the way in which it will be subsequently exploited
• Assess the importance of data analytics, as well as the generation of predictive models that provide efficient results
• Establish the minimum requirements in terms of privacy that are necessary in the area of access to and use of information
• Identify the different elements that make up the platform architecture and the necessary interaction between them

Specific Objectives

Module 1. IoT Technologies Architecture

• Generate specialized knowledge on IoT
• Defining the criteria for building an IoT solution
• Develop consultative capabilities in the application of IoT use cases
• Analyze a basic IoT architecture
• Determining the operating model of an IoT solution
• Justify the importance of IoT technology in society and in the coming years
• Evaluating market solutions and their appropriate for each use case

Module 2. Artificial Intelligence in Computer and Systems Engineering

• Generate specialized knowledge on artificial intelligence
• Identify which type of learning (supervised or unsupervised) is most appropriate for a given problem
• Identify the characteristics of an intelligent system or agent

Module 3. Big Data in systems engineering and computer science

• Analyze the different sources of data that can be the sources of information for the process
• Define the different forms of storage in which the information can be stored, taking into account the way in which it will be subsequently exploited
• Assess the importance of data analytics, as well as the generation of predictive models that provide efficient results
• Establish the minimum requirements in terms of privacy that are necessary in the area of access to and use of information
• Identify the different elements that make up the platform architecture and the necessary interaction between them
• Develop the differences between the different possibilities of analyzing the information according to the result to be obtained
• Identify the traceability of the data to analyze its usability in those areas where it is present

This postgraduate diploma will help you choose the most appropriate form of information storage according to the way it will be exploited"