| INNOVATION AND MANAGEMENT OF ARTIFICIAL INTELLIGENCE |
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Digital transformation strategies and innovation management The course offers a comprehensive and applied perspective on organizational change processes driven by innovation and digital technologies. Throughout the course, the strategic foundations of innovation, digital transformation models, and the role of enabling technologies in value creation are examined, with a focus on understanding how to align corporate strategy with digital initiatives aimed at improving the organization’s competitiveness, efficiency, and sustainability. |
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Data analysis and its application in business The course Data Analytics and its Application in Business introduces the fundamentals of data analysis as a key tool for management and strategic decision-making in the business environment. Throughout the course, data are addressed as a strategic asset, examining their typologies, life cycle, and the role of the data analyst in relation to senior management and the different functional areas of the organization. |
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Integration of artificial intelligence into organizational processes The course aims to provide students with a deep and applied understanding of how artificial intelligence (AI) can be strategically and operationally integrated into business processes in order to generate value, enhance decision-making, and strengthen organisational competitiveness. The course addresses the role of AI as a key element of business strategy, analysing its opportunities, impacts, and risks, as well as its influence on data-driven strategy formulation, the design of innovative business models, and the development of sustainable competitive advantages. |
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Governance and leadership in artificial intelligence in business organizations This course addresses the role of leadership and governance in the adoption and management of artificial intelligence (AI) within business organisations. Its aim is to provide students with the competencies required to lead multidisciplinary teams, manage organisational change, and design effective governance structures, ensuring that AI is implemented in a strategic, efficient, and business-aligned manner. |
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Ethics and technological regulations in the business environment The course aims to provide students with a deep and applied understanding of ethical principles, regulatory frameworks, and governance models that govern the use of advanced digital technologies—particularly artificial intelligence—in business contexts. |
| DATA SCIENCE AND ARTIFICIAL INTELLIGENCE |
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Artificial intelligence in business: concepts and applications The course offers a comprehensive and applied overview of the role of artificial intelligence in contemporary organizations. Throughout the course, the conceptual foundations of artificial intelligence, its main typologies, and its evolution into a key source of competitive advantage are addressed. The course examines the impact of artificial intelligence on the transformation of business decision-making, integrating human capabilities with intelligent systems capable of automating, optimizing, and supporting both strategic and operational decisions. |
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Data science for business decision-making The course aims to introduce students to the advanced use of data science and artificial intelligence as key tools for generating strategic value in organizations. Throughout the course, the differences between traditional data analysis and data science are examined, as well as the role of algorithmic models in decision-making in comparison with human judgment. |
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Innovations in artificial intelligence for business competitiveness The course aims to provide students with a deep, critical, and applied understanding of the processes involved in the design, development, deployment, and operation of artificial intelligence models in complex professional contexts. The course integrates theoretical and methodological foundations with a practical orientation, focusing on the creation of advanced data-driven and AI-based solutions aligned with business objectives and guided by quality, ethics, sustainability, and regulatory compliance. |
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Design and implementation of artificial intelligence models The course aims to offer a comprehensive analysis of how innovations in artificial intelligence become a key source of competitive advantage for organisations within a digital, global, and highly dynamic economic environment. Throughout the course, the strategic impact of artificial intelligence on business value creation is also examined, with special attention to technologies such as neural networks, deep learning, and generative artificial intelligence systems. |
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Technological trends and their impact on business strategy The course provides a comprehensive and applied perspective on how emerging technologies transform business models, competitive dynamics, and strategic decision-making processes within organizations. Throughout the course, students will acquire the competencies required to identify, analyse, and anticipate technological trends, assess their level of maturity and disruptive potential, and integrate this knowledge into the formulation of sustainable business strategies. |
| MASTER’S THESIS |
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Master’s thesis The Master’s Final Project (MFP) in the field of artificial intelligence represents the synthesis of the entire program. It consists of the study, design, and implementation of a project with practical application in a business context, enabling students to address real-world challenges by assuming an active role as problem solvers or proposal developers. This approach reinforces the professional orientation of the Master’s degree and allows students to engage with professional practice in a context closely linked to the labor market, taking on responsibilities, managing real deadlines and deliverables, and applying in an integrated manner the knowledge and competencies acquired throughout the program. |