|
Innovation and Artificial Intelligence Management Discover how AI and digital transformation reshape competitiveness. Learn to design innovative strategies, analyze business data, and lead AI-driven projects with a strong focus on ethics, governance, and leadership. |
|
Digital Transformation Strategies and Innovation Management Learn to understand the core principles of digital transformation and evaluate their impact on business innovation. Develop the ability to design digital strategies that drive organizational change, align with business objectives, and leverage emerging technologies to foster innovation. |
|
Data Analysis and its Application in Business Gain a solid foundation in data analysis tools and techniques to solve real business challenges. Apply analytical methods to process and visualize business data, generating practical insights that support strategic decision-making. |
|
AI Governance and Leadership in Business Organizations Understand how AI governance frameworks shape strategic decisions within modern enterprises. Design and implement governance systems that ensure alignment with corporate goals, ethical standards, and regulatory compliance at both local and global levels. |
|
Integration of Artificial Intelligence in Organizational Processes Explore how to identify opportunities and challenges when implementing AI in business operations. Lead AI-driven transformation by coordinating multidisciplinary teams and assessing the strategic impact of intelligent systems on productivity and decision-making. |
|
AI Governance and Leadership in Business Organizations Understand how AI governance frameworks shape strategic decisions within modern companies. Design and implement governance systems that ensure alignment with corporate goals, ethical standards, and regulatory compliance at both local and global levels. |
|
Ethics and Technological Regulations in the Business Environment Assess the ethical and regulatory implications of emerging technologies in business contexts. Develop corporate policies that integrate ethical principles and international regulations, ensuring responsible and compliant technology use. |
|
Data Science and Artificial Intelligence Master the fundamentals of data science and AI applied to business. Develop skills to design and evaluate AI models, leverage data for strategic decisions, and integrate emerging technologies to boost business performance. |
|
Artificial Intelligence in Business: Concepts and Applications Discover the fundamentals of AI and identify business areas where it creates real value. Design and implement practical AI solutions that enhance operational efficiency, drive innovation, and optimize customer experience across industries. |
|
Data Science for Business Decision-Making Learn how AI techniques integrate into data analysis to address complex business challenges. Apply predictive, automated, and personalized models using specialized tools that support strategic decisions in diverse business environments. |
|
Innovations in Artificial Intelligence for Business Competitiveness Understand how cutting-edge AI innovations — including neural networks and generative systems — contribute to competitive advantage across industries. Lead implementation projects that integrate innovative technologies into business strategies to maximize competitiveness. |
|
Design and Implementation of Artificial Intelligence Models Master the advanced principles of AI model design, assessing their applicability across different business contexts. Learn to implement and optimize AI models, evaluating their performance, scalability, and alignment with organizational goals. |
|
Technological Trends and Their Impact on Business Strategy Identify the main technological trends transforming today’s markets. Design business strategies that incorporate disruptive technologies to boost efficiency, innovation, and competitive positioning in dynamic environments. |
|
Master’s Final Project Demonstrate your ability to apply AI principles to real business projects, combining technical, strategic, and ethical perspectives. Develop and communicate an original AI solution for a complex business problem, integrating knowledge from across the program. Plan and execute a research or applied project, managing data, resources, and infrastructure, effectively while considering ethical, anthropological, and social implications. |
