A 100% online program that will give you the keys to know in detail the latest developments related to the technologies involved in blockchain and the requirements to ensure security in cyberspace" 

The volume of data that surfs the web internationally every day is incalculable. Thanks to the development of big data, nowadays millions of companies around the world have the possibility of gathering invaluable information that, with its analysis, allows them to obtain specific conclusions about their business model, as well as to make strategic decisions in the market. However, until a few years ago, the intervention of third parties in this management could mean a violation of the entity's vulnerability, putting its integrity at risk and allowing access to hackers. Everything changed with the emergence of Blockchain.

Thanks to the evolution of this technology, which encrypts transaction information and enables its transfer from one side to the other in a fairly secure manner, cryptocurrencies, NFT technology or numerous digital assets in science, politics and administration, for example, have been developed. The rapid growth and multiple applications of this technology, as well as the benefits that can arise from the combination with big data, has led thousands of companies around the world to increasingly demand the presence in their workforces of computer scientists specialized in both fields.

For that reason, TECH and its team of experts has decided to design this advanced master’s degree in Big Data and Blockchain, an intensive and comprehensive program, developed over 24 months and with which the graduates will be able to acquire a broad, updated and specialized knowledge about these two fields, allowing them to implement to their profile the skills of a highly qualified professional in the management of these technologies. The program delves into the characterization of data analysis, interpretation and management, as well as its techniques and tools. It also offers a broad vision of security in cyberspace and the development of public and private blockchains, so that the graduate can delve into each of its aspects.

It is a program presented in a convenient and accessible 100% online format, which will help you to organize this academic experience based on your availability and to balance it with any work activity. It also includes hundreds of hours of high-quality additional material, including case studies designed by the teaching team, which, in addition to actively participating in the design of this course, will be available to guide you through this academic experience that will mark a before and after in your professional career.

You will delve into blockchain configuration and key parameters for PoA and PoW, as well as Besu securitization" 

This advanced master’s degree in Big Data and Blockchain contains the most complete and up-to-date educational program on the market. The most important features include:

• Practical cases presented by experts in IT
• The graphic, schematic, and practical contents with which they are created, provide scientific and 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 in the domain of big data and blockchain technology
• 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

In the Virtual Classroom you will find exercises on integration and creation of blockchain structures, so that you can put into practice and perfect your IT skills and abilities" 

Its teaching staff includes professionals from the field of journalism, who bring to this program the experience of their work, as well as renowned specialists from reference 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 an immersive learning experience designed to prepare for real-life situations. 

This program is designed around Problem-Based Learning, whereby the student must try to solve the different professional practice situations that arise throughout the program. For this purpose, the professional will be assisted by an innovative interactive video system created by renowned and experienced experts.  

You will have a module specialized in the development of enterprise blockchains, the characteristics of the different architectures and the most effective tools to design them"

Thanks to the quality of the content of this advanced master’s degree, you will improve your advanced management skills in Data-Drive organizations"

Given the importance that blockchains and big data have taken in recent years, TECH had to design a program that would meet the academic needs of its graduates. That is why the objective of this advanced master’s degree is to provide you with the tools that will allow you to update and implement the latest protocols, strategies and techniques in your professional practice. This will provide them with all the information they need to face the job market and succeed in this specialized IT sector.  

Detailed knowledge of the different agents involved in the creation of blockchains will help you design customized structures based on the needs of each sector" 

General Objectives

• Offer students immersion in the new social and technological context in which visual analytics tools are used
• Obtain and enhance fact-based critical thinking for strategic decision-making
• Understand the value of the changing environment and facilitate students’ connection to entrepreneurship and new knowmad ways of working
• Analyze the data produced and draw conclusions using statistical tools to make the most appropriate decisions at all times
• Acquire in-depth knowledge of the principles of probability that are the basis for inferential statistics, which will allow us to contrast conjectures (hypothesis testing) about what a given population is like
• Understand information sources and the value they bring to the creation of new innovative business models
• Know and use statistical tools to solve problems in the big data field
• Assimilate concepts, techniques, methodologies and knowledge of languages that will be useful to apply in big data mining
• Understand databases, from traditional to unstructured, where data requiring other types of processing, such as audio or video streams, will be stored
• Enhance management and leadership skills to successfully manage teams and projects.
• The student will become a resilient leader through the management of emotions, conflict and crisis, fundamental skills in the current context and others oriented to decision, negotiation and change management
• Understand the need for security in data storage, management and access along with the pillars of information security: integrity, confidentiality, availability and traceability
• Study, in-depth, the ethics of data and its possible uses in today's societies
• Obtain information based on data from web searches, in order to define a strategy based on realities, i.e., existing data
• Know how to differentiate the offer, therefore providing the ability to think in the same way as the consumer, detecting the attributes they want
• Expand knowledge on the use of open sources to combine with other existing data within the organization
• Draw conclusions regarding good security practices
• Consider the vulnerabilities associated with blockchain
• Analyze the future impact of running public blockchain
• Develop design criteria for applications on production Hyperledger Besu clients
• Promote best practices when developing applications with dependency on Blockchain networks, particularly those based on Ethereum and on Hyperledger Besu client
• Integrate the student's existing knowledge in a refined way based on the needs of industry and business with their notions of quality, effort measurement and development valuation, expanding their value as a Blockchain application developer
• Generate specialized knowledge about what Hyperledger Fabric encompasses and how it works
• Analyze the evolution of the crypto world up to today
• Identify the regulations applicable to the different business models offered by technology
• Establish the basics of knowledge of the crypto world and its key aspects
• Identify potential legal risks in real projects
• Determine the logistic processes to define the main needs and gaps of the current logistic process
• Implement the solution in phases so that value can be extracted from the beginning of the project and can be adjusted as use and learning occur
• Analyze why or why not to apply a  blockchain solution in the professional environment
• Generate specialized knowledge on the logical concept of distributed technologies as a comparative advantage

Specific Objectives

Module 1. Visual Analytics in the Social and Technological Context

• Understand the new social, economic and business dynamics of the world
• Understand the value of new environments as an opportunity for entrepreneurship
• Develop analytical skills in changing environments
• Identify and focus on new scenarios and their opportunities
• Develop analytical and critical thinking for strategic decision making.
• Understand new profiles in the current context in order to define strategies adapted to them
• Generate differential value in our ability to make decisions
• Understand the new business environment in order to address transformation processes in organizations

Module 2. Data Analysis and Interpretation

• Know the different theories for data analysis and interpretation
• Identify the most common descriptors for a dataset
• Understand and assess the applicability of different descriptors to an existing dataset
• Know how to carry out hypothesis testing and its applicability to the world of data analysis
• Learn how to interpret the different existing regression techniques

Module 3. Data and AI Analysis Techniques

• Understand the different techniques for data analysis
• Design joint strategies of statistical and artificial intelligence techniques for the development of descriptive and predictive systems applied to the reality of a dataset
• Understand the operation and characteristics of common mass data processing techniques
• Identify techniques oriented to statistical analysis, artificial intelligence and mass data processing

Module 4. Data Analysis Tools

• Understand the environments most used by Data Scientists
• Know how to process data in different formats from different sources
• Learn from the need to guarantee the veracity of the data as a prior step to its processing
• Identify new technologies as pedagogical tools in the communication of the different business realities
• Know the latest trends in the creation of intelligent entities based on deep learning and neural networks

Module 5. Database Management and Data Parallelization Systems

• Know the artificial intelligence techniques applicable for massively parallelized data processing on a given data set and according to previously defined requirements
• Know how to manage large volumes of data in a distributed manner
• Understand the operation and characteristics of common mass data processing techniques
• Identify commercial and open software tools oriented to statistical analysis, artificial intelligence and mass data processing

Module 6. Data-Driven Soft Skills in Strategic Management in Visual Analytics

• Know and develop the drive profile applied to mass data environments
• Understand what and why advanced management skills generate a differential value in data scientists
• Develop strategic communication and presentation techniques
• Understand the role of emotional intelligence in the context of visual analytics
• Identify key concepts in Agile team management
• Develop and leverage digital talent in data-driven organizations
• Develop emotional management skills as a key to performance-focused organizations

Module 7. Strategic Management of Visual Analytics and Big Data Projects

• Know the best practices in PMI applied to the world of big data
• Learn Kimbal methodology
• Know the SQuID methodology and its applicability in the development of projects with large volumes of data
• Identify the legal issues of application related to the capture, storage and use of user data
• Know how privacy can be provided in big data
• Anticipate ethical risks and benefits derived from the application of big data techniques that may occur in real situations

Module 8. Client Analysis. Applying Data Intelligence to Marketing

• Know the different types of marketing and how they are applied in organizations and their influence on business strategies
• Be able to design a central intelligence system (CRM) for decision support based on data analysis and visualization, and focused on the company's own context.
• Provide an introduction to the Internet as a massive source of real data based on user searches that can be utilized for decision making
• Analyze the technologies underlying the various web systems
• Develop open-source intelligence solutions, exploiting available data sources
• Learn about application of data to improve marketing and sales in business organizations

Module 9. Interactive Visualization of Data

• Understand how patterns found in a data set can be made visible in order to generate a common interpretation of the underlying reality
• Understand the scalability of individual representations
• Understand the difference between Visual Analytics and information visualization
• Understand the process of Keim's visual analysis
• Assess the different data visualization methods applicable depending on the information to be conveyed

Module 10. Visualization Tools

• Know how to generate diagrams that visually represent the chosen situation from a set of data
• Be able to combine the different techniques studied for the design of original visualizations
• Understand how, starting from a design and a set of previous data, a visualization implementation that meets the defined requirements can be carried out
• Identify the usability and interactivity needs of data visualization methods and be able to develop a new version of the visualization that improves these aspects
• Design a system that combines data capture and storage techniques, as well as data analysis and visualization, to represent existing patterns in that data set

Module 11. Blockchain Technology: Technologies Involved and Cyberspace Security

• Establish methodologies for information analysis and deception detection on the Internet
• Plan an Internet search strategy
• Determine the most appropriate tools to detect a criminal act on the Internet
• Deploy an environment with the following tools: Logstash, Elasticsearch and Kibana
• Address the risks faced by analysts in a research exercise
• Conduct research processes based on wallet or address availability
• Identify possible indications of use of mixers to blur transaction trails

Module 12. Development with Puvlic Blockchain: Ethereum, Stellar and Polkadot

• Broaden skills in the world of blockchain development
• Develop practical examples based on cases
• Compile generic knowledge about the blockchain in practice
• Analyze the operation of a public blockchain
• Gain experience in Solidity
• Establish a relationship between the different public blockchains.
• Create a project on a public blockchain

Module 13. Development with Corporate Blockchain: Hyperledger Besu

• Identify key configuration points in the consensus protocols available with Hyperledger Besu
• Correctly measure a Besu Hyperledger service to support enterprise applications
• Develop automated test protocols for quality validation in Hyperledger Besu environments
• Establish safety criteria for a production environment with Hyperledger Besu
• Compile the different types of configurations on Hyperledger Besu clients
• Determining the sizing criteria for an application with Hyperledger Besu
• Strengthen knowledge of the functioning of the consensus mechanisms implemented in Hyperledger Besu
• Define the most interesting technological stack in the implementation of infrastructure and development of applications based on Hyperledger Besu

Module 14. Corporate Blockchain Development: Hyperledger Fabric

• Generate specialized knowledge about Hyperledger and Fabric
• Analyze what can be done with this technology
• Determine the inner workings of transactions
• Solve a problem with Fabric
• Deploy Fabric and gain experience using it

Module 15. Sovereign Identity Based on Blockchain

• Analyze the different blockchain technologies that enable the development of digital identity models
• Analyze Self-Sovereign Digital Identity proposals
• Assess the impact on public administration of implementing Self-Sovereign Digital Identity models
• Foundations for developing blockchain-based digital Identity solutions
• Generate specialized knowledge on Digital Identity
• Analyze what can be done with this technology
• Determine the inner workings of identities in blockchain

Module 16. Blockchain and its New Applications: DeFi and NFT

• Assess the importance of Stable Coins
• Examine Maker, Augur and Gnosis protocol
• Determine the AAVe protocol
• Identify the importance of Uniswap
• Study the Sushiswap philosophy in depth
• Analyze dY/dX and Synthetix
• Identifying the best markets for NFT exchange

Module 17. Blockchain. Legal implications

• Generate specialized knowledge on the whitepaper concept
• Determining the legal requirements for cryptoassets
• Establish the legal implications in the regulation of cryptocurrencies.
• Developing the regulation of tokens and ICOs
• Contrast and compare the current regulations against the EIDAS regulations.
• Examine the current regulation of NFTs

Module 18. Blockchain Architecture Design

• Develop the foundations of the architecture
• Generate specialized knowledge in blockchain networks
• Evaluating stakeholders
• Determine infrastructure requirements
• Identify deployment options
• Program for production start-up training

Module 19. Blockchain Applied to Logistics

• Examine the operational and systemic reality of the company to understand the needs for improvements and future solution with the blockchain
• Identify the To Be model with the solution best suited to the company's needs and challenges
• Analyze a Business Case with a plan and macro solution agreement for executive approval
• Demonstrate the potential and scope of the application and its benefits by means of a POC for operational approval
• Establish a project plan with the owner and stakeholders to start work on functional definition and prioritization of sprints
• Develop the solution according to the user stories to initiate testing and validation to go into production
• Carry out a specific Change Management and blockchain implementation plan to bring the whole team to a new digital mindset and a more collaborative culture

Module 20. Blockchain and Business

• Analyze why we should or should not implement a blockchain project in our environment
• Examine the challenges we face when implementing a product based on DLT technology
• Adapt our knowledge and mental tools to understand the concept of project-oriented blockchain
• Gather all the possibilities offered by the vast blockchain universe, distributed, DeFi, etc
• Determine when a blockchain project is right or wrong
• Discern between a meaningful project and the Hype surrounding this technology

TECH's goal with this program is to help you exceed your academic goals, so that you are closer to achieving your most ambitious career goals in the Big Data and Blockchain sector"