The contents of this qualification are not classical subjects. This program specializes computer scientists in the application of the technologies of the future"

The professional master’s degree in Research and Innovation in Information and Communication Technologies develops a highly specialized vision that will allow students to focus on advanced technological projects using the most innovative technologies in an appropriate way, generating a differential added value through their correct use and application.

The direct application of the knowledge acquired on Smart Cities, Blockchain, IoT, Digital twins in AI (artificial intelligence) in real projects is an added professional value that very few professionals specialized in Information and Communication Technologies can offer.

Professionals who successfully complete this program will have a global vision of the application of the different technologies involved in global digitalization and will have the ability to apply them, having been trained by accredited professionals who use them in their daily work.

Additionally, the student has the best study methodology 100% online, which eliminates the need to attend classes in person or have to comply with a predetermined schedule. In this way, in just 12 months, you will deepen your knowledge of the scope of application of each technology, understanding the competitive advantages they provide, so you will be positioned at the technological forefront and will be able to lead ambitious projects in the present and in the future.

Addresses the 6 most innovative technologies of today from a practical and innovative business perspective"

This professional master’s degree in Research and Innovation in Information and Communication Technologies contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Research and Innovation in Information and Communication Technology
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

Contemplates the newest technologies and areas of study and the most disruptive and surprising practical applications that you can find in the field of information and communication"

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

Its multimedia content, developed with the latest educational technology, will allow professionals to learn in a contextual and situated learning environment, i.e., a simulated environment that will provide immersive education programmed to prepare in real situations.

The design of this program focuses on Problem-Based Learning, by means of which professionals must try to solve the different professional practice situations that are presented to them throughout the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.

It addresses two of the fields with the highest development forecasts in the world of Artificial Intelligence, NLP and Computer Vision"

It deepens the Digital Twins, a highly competitive field with a high demand and for which there is a very high lack of qualified profiles"

The main objective of this professional master’s degree is to provide a technical immersion in the most relevant technologies that will play a major role in the technological advances of the coming years. This program specializes its students in the use of the technologies of the future, but with real applications in the present, making them a professional catalyst of the technologies of the coming years starting today. To this end, TECH establishes a series of general and specific objectives to fulfill future graduates’ expectations.

What makes this program unique in the market is that the computer scientists who take it will be unique professionals in their field"

General Objectives

• Establish the basis for a correct foundation in the IoT, EIoT and IIoT field
• Acquire a global vision of the IoT project, as the project as a whole provides greater added value
• Analyze the current landscape of Digital Twins and associated technologies
• Generate specialized knowledge on Blockchain technology
• Develop specialized knowledge of NLP and NLU
• Examine the operation of Word Embeddings
• Analyze the mechanism of Transformers
• Develop case studies where NLP can be applied
• Demonstrate the differences between quantum and classical computing by analyzing their mathematical foundations
• Develop and demonstrate the advantages of quantum computing in application solving examples (games, examples, programs)

Specific Objectives

Module 1. Communication Innovation with Cloud Computing

• Examine the different Cloud providers and Microsoft's specific offer with Azure
• Analyze the six ways in which MS Azure provides access to the administration and configuration of its services
• Examine the various computing services Azure has to offer
• Generate specialized knowledge on Azure web services platforms
• Develop the features and advantages of the "On Cloud Storage" offered by Azure
• Determine which storage options are most beneficial in each case
• Delve into Azure IoT cloud services and MS Azure AI services
• Gain further understanding of Azure Security features and acquire advanced knowledge to ensure Data Security in the Cloud

Module 2. IoT. Service Applications and I 4.0. (Industrias 4.0)

• Establish the appropriate criteria to start and manage a project in an IoT environment
• Analyze the most relevant IoT architecture techniques
• Develop thinking skills from start to finish Methodology (CRISP_DM)
• Examine, in-depth, the existing free software options
• Delve into all areas where technology can be added to connected objects
• Monitor projects through a Dashboard
• Acquire the ability to quantify not only the IoT's value contribution to society, but also to quantify economically this type of technology

Module 3. Digital Twins. Innovative Solutions

• Acquire a detailed view of the influence of the Digital Twins on the future of product and service development
• Pinpoint the applications of the Digital Twins
• Demonstrate the utility of Digital Twins in the value chain
• Determine specific uses of Digital Twins
• Assess the feasibility of implementing a Digital Twin
• Identify concrete cases of application of the Digital Twins
• Justify uses and models of the Digital Twins
• Generating interest in the implementation of models

Module 4. Smart Cities as Innovation Tools

• Analyze the technological platform
• Determine what a Digital City Twin is (Virtual Model)
• Establish which are the monitoring layers: density, movement, consumptions, water, wind, solar radiation, etc
• Carry out a comparative analysis of the following variables
• Integrate the different sensor networks (IoT/M2M) as well as the behavioral parameters of the inhabitants of the city (treated as human sensors)
• Develop a detailed vision of how Smart Cities will influence the future of people
• Generate interest in the implementation of smart city models

Module 5. R&D in Complex Software Systems. Blockchain. Public and Private Nodes

• Analyze requirements for solution definition
• Develop solutions based on Blockchain technologies (C#/Go)
• Optimize the performance of already implemented solutions
• Establish the basis for enabling the scalability of such solutions
• Fundamentalize the application of different tools, algorithms, Frameworks or platforms in the implementation of Blockchain solutions

Module 6. Data Operations in Blockchain. Innovation in Information Management

• Identify improvement points within existing architectures
• Evaluate the costs of applying the improvements to be implemented
• Fundamentalize the application of different tools in the implementation of Blockchain solutions

Module 7. R&D and AI. NLP/NLU. Embeddings and Transformers

• Develop specialized knowledge on NLP Natural Language Processing
• Determine what is NLU Natural Language Understanding
• Differentiate between NLP and NLU
• Understanding the use of Word Embeddings and examples using Word2vec
• Analyze Transformers
• Examine examples of various Applied Transformers
• Delve into the NLP/NLU field through common Case Studies

Module 8. R&D and AI. Computer Vision. Object Identification and Tracking

• Analyze what Computer Vision is
• Determine typical computer vision tasks
• Analyze, step by step, how convolution works and how Transfer Learning works
• Identify what mechanisms we have available to create modified images, from our own to have more training data
• Compile typical tasks that can be performed with computer vision
• Examine commercial computer vision use cases

Module 9. Quantum Computing. A New Model of Computing

• Analyze the need for quantum computing and identify the different types of quantum computers currently available
• Specify the fundamentals of quantum computing and its characteristics
• Examine the applications of quantum computing, advantages and disadvantages
• Determine the basic fundamentals of quantum algorithms and their internal mathematics
• Examine Hilbert space of dimension 2n, n-Qubits, states, quantum gates and their reversibility
• Demonstrating Quantum Teleportation
• Analyze Deutsch's Algorithm, Shor's Algorithm and Grover's Algorithm
• Develop examples of applications with quantum algorithms

Module 10. Quantum Machine Learning. Future Artificial Intelligence

• Analyze quantum computing paradigms relevant to machine learning
• Examine the various ML algorithms available in quantum computing, both supervised and unsupervised
• Determine the different DL algorithms available in quantum computing
• Develop pure quantum algorithms to solve optimization problems
• Generate specialized knowledge on hybrid algorithms (quantum computation and classical computation) to solve learning problems
• Implementing learning algorithms on quantum computers
• Establish the current status of QML and its immediate future

This qualification will open up a horizon of professional growth unthinkable as soon as you start the educational program"