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Master in Artificial Intelligence and Big Data + 60 ECTS Credits

Name: Master in Artificial Intelligence and Big Data + 60 ECTS Credits en Estados Unidos
Brand: Structuralia
SKU: 378108-2602
Availability: InStock

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Duration

1500 hours

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Credits

60 ECTS

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Language

English

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Phia Integrated

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Agenda

Credit your success

At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Master's Degree in Artificial Intelligence and Big Data with 60 ECTS Credits awarded by the Antonio de Nebrija University. Teaching not leading to an officially accredited qualification

+25 years

Reference in the sector. Recognition guarantee.

In-person training with global impact

An international postgraduate degree taught in Madrid is available at the end of 2026

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Learn from the best in your sector

josé antonio rubio blanco

PhD in Computer Engineering, Master in ICT Management and Director of Security by the Ministry of the Interior. He holds international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in councils. advisors and strategic bodies linked to digital trust and artificial intelligence. He combines this activity with specialized dissemination and participation in the media.

Teaching experience:

Associate Professor - Universidad Complutense de Madrid. Advisor and lecturer at various business schools.

Professional experience:

National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Critical Infrastructures and Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the field of vehicles; Member of the Advisory Council — ISACA Madrid; Board Member of Editorial — Privacy and Digital Law of RDU; Member of Commissions — Spanish Association of Telecommunications and Information Society Users; Co-presenter — Program En la Ciberguarida, Cadena SER Comunidad de Madrid; President — Spanish Association of Digital Trust and Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts — National Cybersecurity Strategy of Spain; Member of the Committee of Experts — Sandboxing Project of the European Regulation on Artificial Intelligence in Spain; Member of the Data Working Group stewardship — Higher Council of Statistics; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Forum on Digital Trust. Publications: Member of the Editorial Board of the journal Privacy and Digital Law; Contributing Editor of the magazine CSO Spain.

Professional skills:

Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; IT service governance and management; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation.

Merits:

Technology Innovation Award — Sun Microsystems; Prize in the field of essay — Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.

PhD in Computer Engineering, Master in ICT Management and Director of Security by the Ministry of the Interior. He holds international certifications ISO 27001, ISO 22301, CISM, CISA and CRISC. His career focuses on cybersecurity, risk management, business continuity, regulatory compliance and IT governance, combining technical activity, participation in standardization committees and teaching in higher education. He has held positions of responsibility in national and international standardization committees in cybersecurity and data protection, as well as in councils. advisors and strategic bodies linked to digital trust and artificial intelligence. He combines this activity with specialized dissemination and participation in the media.

Teaching experience:

Associate Professor - Universidad Complutense de Madrid. Advisor and lecturer at various business schools.

Professional experience:

National Coordinator — ISO/IEC JTC 1/SC 27/WG 4 and WG 5 of AENOR. Secretary — UNE/CTN 320/SC 4 on Security Services and Controls. Member — CEN/CLC/JTC 13 Cybersecurity and Data Protection. Member of Technical Standardization Committees in: Risk Management; Continuity of Critical Infrastructures and Services; Compliance Management Systems; Anti-Corruption Management Systems; Management and Governance of IT Services; Services and Platforms for Distributed Applications; Cybersecurity in the field of vehicles; Member of the Advisory Council — ISACA Madrid; Board Member of Editorial — Privacy and Digital Law of RDU; Member of Commissions — Spanish Association of Telecommunications and Information Society Users; Co-presenter — Program En la Ciberguarida, Cadena SER Comunidad de Madrid; President — Spanish Association of Digital Trust and Compliance; Contributing Editor — CSO Spain Magazine; Member of the Committee of Experts — National Cybersecurity Strategy of Spain; Member of the Committee of Experts — Sandboxing Project of the European Regulation on Artificial Intelligence in Spain; Member of the Data Working Group stewardship — Higher Council of Statistics; Member of the Certification Committee — DEKRA; Member of the Spanish Chapter of the Club of Rome; Member — National Forum on Digital Trust. Publications: Member of the Editorial Board of the journal Privacy and Digital Law; Contributing Editor of the magazine CSO Spain.

Professional skills:

Cybersecurity and data protection; Risk management and business continuity; ISO 27001 and ISO 22301 management systems; IT service governance and management; Regulatory compliance and digital compliance; National and international technical standardization; Cybersecurity strategy and technological regulation.

Merits:

Technology Innovation Award — Sun Microsystems; Prize in the field of essay — Everis Foundation; Recognized as one of the 25 most influential cybersecurity professionals in Spain — IDG.

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Información adicional del MASTER

Master in Artificial Intelligence and Big Data + 60 ECTS Credits

12 months de tutorización

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Course information

The Master in Artificial Intelligence and Big Data is the specialization for information technology professionals, data analysts and managers who seek to update and specialize their skills in the management and analysis of massive volumes of information, overcoming the limitations of traditional processing systems. This program introduces you to the advanced technologies that support the management of big data, preparing you to transform complex sets of information into strategic and operational decisions. From the introduction to Artificial Intelligence and its various types, to the implementation of Machine Learning and Deep Learning algorithms, both supervised and unsupervised, you will gain a deep understanding. You will delve into the design and application of advanced Deep Learning models, exploring their capabilities to solve complex problems in business environments and optimize decision making. You will develop a deep understanding of how these tools integrate into advanced technology ecosystems, allowing you to design innovative and scalable solutions. You will learn to apply predictive models and large-scale analytics, optimizing processes and discovering hidden patterns that will drive business growth. This practical approach equips you to lead digital transformation projects, using Artificial Intelligence as a key driver for efficiency and competitiveness in any sector. You will position yourself as an expert capable of extracting value from data, anticipating trends and directing the technological evolution of your organization, ensuring a strategic advantage in a dynamic market. You will master the techniques to manage and process large data sets, applying algorithmic intelligence to generate actionable insights.

By specializing in the management of intelligent systems and big data analysis, you will position yourself to assume highly responsible roles in management and digital transformation. You will be able to lead data and analytics teams, directing the implementation of innovative solutions that drive business strategy. You will acquire the skills to serve as Director of Data Strategy, designing scalable architectures for the processing of large volumes of information and the application of advanced algorithms. You will be able to assume the role of AI Architecture Manager, supervising the development and deployment of intelligent systems based on Machine Learning and Deep Learning. You can also work as a Senior Consultant in predictive analysis, advising organizations on the optimization of their processes through the application of predictive models and automation solutions. Your profile will be key to making strategic decisions, managing the integration of complex technological ecosystems and leading the evolution towards a data-driven business culture.

This program will prepare you to transform enterprise data management, equipping you with the skills necessary to lead the implementation of intelligent systems solutions at scale. You will develop the ability to analyze large volumes of information, overcoming the limitations of traditional methods, and make strategic and operational decisions based on advanced data processing. You will master the design and application of machine learning and Deep Learning algorithms, from supervised to unsupervised learning, to solve complex problems and optimize processes. The Master in AI and Big Data Management will train you in the implementation of algorithmic intelligence solutions at scale to drive innovation and organizational efficiency. You will integrate a complete understanding of advanced technological ecosystems, allowing you to design scalable architectures, applying data science principles. Thus, you will not only manage data, but you will turn it into a strategic asset, driving innovation and efficiency in your organization.

This program is designed for professionals in the information technology sector, data analysts and managers seeking high-level specialization in the management and application of intelligent systems. If you work in making strategic and operational decisions, and feel the need to transform the way your organization uses its data, this master's degree offers you the tools to lead that change. It is ideal for those who already operate with large volumes of information and wish to delve deeper into the development of machine learning and Deep Learning algorithms, integrating a complete perspective of advanced technological ecosystems for digital transformation. You seek to go beyond traditional analysis, implementing algorithmic intelligence solutions that generate real impact.

• Lead business digital transformation through the implementation of algorithmic intelligence solutions and big data analysis. • Design scalable and efficient data architectures for processing massive volumes of information. • Apply advanced machine learning and deep learning algorithms for value extraction and predictive patterns. • Manage software development projects based on intelligent systems, from conception to production. • Evaluate the strategic impact of data technologies on decision making and process optimization. • Integrate complex technological ecosystems for the deployment of advanced analysis solutions in real environments. • Optimize strategic and operational decision-making through advanced data analysis and algorithmic intelligence.

Master in Artificial Intelligence and Big Data + 60 ECTS Credits