Master in Artificial Intelligence, Data and Cloud

The Master in Artificial Intelligence, Data and Cloud

Artificial Intelligence is the most influential technology of our time, and the rapid evolution of Generative AI has multiplied the transformative power of data across all sectors of society and the economy. Organizations today urgently need professionals who understand this new technological paradigm and who are able to lead AI-driven initiatives that create real and sustainable value.

The Master in Artificial Intelligence, Data and Cloud, taught entirely in English, is designed to equip forward-thinking professionals with the knowledge, skills, and mindset required to navigate and harness the full potential of AI. The program combines rigorous academic foundations with a highly practical and applied learning approach, enabling students to define effective AI strategies and build intelligent, scalable solutions that incorporate the latest technological advances.

Throughout the program, students explore key areas such as machine learning, deep learning, generative and predictive AI, cloud architectures, big data ecosystems, and the strategic management of data as a core organizational asset. They learn to design, prototype, validate, and deploy AI-powered applications, while understanding the ethical, strategic, and operational implications of implementing AI at scale.

A strong emphasis is placed on creativity, critical thinking, practical problem-solving, and the integration of AI and cloud technologies into real-world business contexts. Students work with industry-standard tools, analyze real case studies, collaborate with international peers, and engage with experts who bring valuable insights into the opportunities and challenges of AI-enabled innovation.

This master’s program provides a highly international, dynamic, and forward-looking environment that prepares students to lead innovation across industries. Whether your goal is to develop intelligent applications, drive digital transformation, build scalable cloud infrastructures, or contribute to the creation of new data-driven business models, the Master in Artificial Intelligence, Data and Cloud offers the pathway to transform ideas into impactful solutions.

Objectives Master in Artificial Intelligence, Data and Cloud

The Master in Artificial Intelligence, Data and Cloud is designed to provide you with the knowledge, skills, and tools needed to conceptualize, design, manage, and implement AI projects in real-world scenarios. Its main objectives include:

Understand the current landscape and historical evolution of AI; Analyze the impact of predictive and generative AI on the economy, society, and business models, and understand how it is reshaping products, services, and organizations.

Develop a comprehensive, integrated vision of AI; Gain the ability to confidently apply artificial intelligence in high-value projects, taking into account technological, ethical, strategic, and organizational dimensions.

Master the technical foundations of AI; Learn the core principles of AI—including Machine Learning and Generative AI—as well as key data and cloud technologies, building a solid understanding that will allow you to identify opportunities and address technical challenges.

Recognize the key role of data; Learn to identify, structure, process, and govern the data needed to power effective and sustainable AI solutions.

Design strategies to generate real value with AI; Explore how to achieve tangible impact through AI-driven product design, the management of AI projects, and the alignment of technology with business objectives.

Use cloud technologies as a fundamental AI infrastructure; Master modern cloud platforms to deploy AI solutions at scale and prepare for industry-recognized professional cloud certifications.

Apply generative AI to real-world use cases; Learn to use language models and other generative AI techniques to create innovative solutions across various sectors and contexts.

Recipients Master in Artificial Intelligence, Data and Cloud

The Master in Artificial Intelligence, Data and Cloud is designed for professionals and graduates from any discipline who wish to acquire advanced, practical training in Artificial Intelligence. It is especially suitable for:

Technology and data professionals those who want to specialize in AI, Generative AI, and cloud technologies.
Innovation and digital transformation leaders professionals seeking to leverage AI as a driver of competitive advantage within their organizations.
Entrepreneurs and product creators individuals interested in designing intelligent solutions from concept to production.
Graduates from technical, scientific, or business fields those who aim to enter a job market undergoing rapid technological transformation.

Salidas Profesionales Master in Artificial Intelligence, Data and Cloud

The Master in Artificial Intelligence, Data and Cloud prepares you to take on key roles in the design, development, and management of AI-based solutions in both large organizations and technology startups. Upon completing the program, you will be equipped to lead transformation initiatives and projects centered on artificial intelligence, data, and cloud technologies.

Some of the most relevant career paths include:

AI Engineer / Machine Learning Engineer Technical profiles capable of designing, training, deploying, and maintaining AI and ML models in production environments, including the use of cloud-based architectures.
AI Project Manager Professionals able to manage complex AI projects, coordinate multidisciplinary teams, and ensure value delivery aligned with business objectives.
AI Strategist / Head of AI Strategy Profiles focused on identifying opportunities for AI adoption within an organization, assessing feasibility, designing roadmaps, and aligning initiatives with corporate strategy.
AI-Focused Product Manager Responsible for defining, designing, and evolving intelligent products that integrate AI, particularly in areas such as generative AI or advanced personalization.
MLOps / Cloud AI Specialist Experts in integrating AI models into scalable and robust pipelines using cloud tools and platforms.
Data Analyst Professionals who understand the entire data lifecycle and contribute to generating actionable insights for decision-making. In this master’s program, this role is addressed from an AI-applied perspective rather than as the main career target.
Data Architect Professionals responsible for designing and implementing scalable and secure data architectures that enable efficient and governed data processing. They work closely with technical and business teams to ensure that the data infrastructure supports the organization’s analytical and AI needs.
Data & Analytics Consultant Specialists who advise organizations on defining and executing data-driven strategies. They identify improvement opportunities, propose analytical solutions aligned with business goals, and support the implementation of high-impact initiatives.
Chief Data Officer (CDO) / Data Director An executive role overseeing the organization’s global data strategy. Responsible for leading digital transformation initiatives, driving data governance, and promoting data-driven value creation, innovation, and better decision-making at all levels.

This master’s program develops hybrid professionals with both technical and strategic vision, fully prepared to lead AI adoption across different sectors and organizational contexts.

Programa Master in Artificial Intelligence, Data and Cloud

The academic methodology of the Master in Artificial Intelligence, Data and Cloud (English) is based on a practical, dynamic and business-focused approach, designed to develop technical and management competencies for projects involving artificial intelligence, data and cloud technologies. The programme combines theoretical knowledge with real-world application through case studies, practical workshops, project-based learning and teamwork.

This approach enables students to strengthen their strategic thinking, decision-making and problem-solving skills, alongside their ability to coordinate teams and manage technology projects. The use of AI tools, cloud platforms and collaborative environments connects learning with organisational needs and developments in the sector.

Learning Areas Structure

Foundations of Artificial Intelligence
Explore AI fundamentals, ethical considerations and business applications through practical prompting and no-code workshops.

Business Strategy and AI Transformation
Identify AI opportunities and define use cases aligned with business strategy and organisational goals.

AI Project Management and Agile Methodologies
Apply Project Management, Agile and Lean principles to manage scope, resources, deliverables and risks.

Financial Management and Technology Project Feasibility
Develop business cases, manage budgets and assess the costs and expected returns of technology investments.

Team Leadership and Change Management
Lead multidisciplinary teams, manage stakeholder expectations and support organisational adoption of new technologies.

Data Management, Architecture and Governance
Explore ETL pipelines, databases, time series and geospatial data, alongside data architecture, quality and governance.

Machine Learning and Business Analytics
Build and evaluate models for classification, prediction and segmentation to support business decisions.

Cloud Computing and Technology Service Management
Use cloud platforms to scale AI solutions, manage services and costs, and prepare for professional certifications.

Generative AI and Product and Service Innovation
Apply language models, agents and content generation tools to innovate products, services and business processes.

Operations, Quality and the Legal Framework of AI
Integrate AI into operations, addressing quality, supplier assessment, data protection, intellectual property and contracts.

Deployment and MLOps
Deploy, monitor and maintain AI models using MLOps and CI/CD practices for reliable production performance.

Final Project: Managing an AI, Data and Cloud Project

The Master in Artificial Intelligence, Data and Cloud (English) provides an education that combines technological knowledge with business management competencies. The programme prepares students to assess opportunities, develop solutions and manage AI, data and cloud projects that create value across different sectors and organisational contexts.