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ISLA IPGT 26130

Business Intelligence and Data Science

Executive MBA
  • ApresentaçãoPresentation
    The Business Intelligence and Data Science course aims to enable managers and business leaders to adopt a data-driven management approach, promoting strategic decision-making based on descriptive, predictive and prescriptive analyses. The course covers areas such as data analysis, artificial intelligence and process optimisation, preparing students to identify and implement opportunities for improvement and automation in their organisations. Its inclusion in the cycle of studies is essential to train leaders who are able to navigate a competitive business environment driven by technological innovation.
  • ProgramaProgramme
    Fundamentals of Business Intelligence and Data Science Descriptive Analytics and BI Tools Predictive and Prescriptive Analytics Artificial Intelligence in Business Ethics and Regulation
  • ObjectivosObjectives
    Understand the fundamentals of Business Intelligence and Data Science and the role of data-driven management in organisations, including descriptive, predictive and prescriptive analytics. Be able to identify and evaluate opportunities for optimising business processes using data analysis and artificial intelligence techniques. Develop a strategic vision for implementing data-driven solutions, ensuring ethics and regulatory compliance, and promoting a data-driven culture in the organisation to support strategic and innovative decision-making.
  • BibliografiaBibliography
    Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press. Agrawal, A., Gans, J., & Goldfarb, A. (2022). Power and Prediction: The Disruptive Economics of Artificial Intelligence. Harvard Business Review Press. Harvard Business Review. (2019). Artificial Intelligence: The Insights You Need from Harvard Business Review. Harvard Business Review Press. Harvard Business Review. (2023). HBR Guide to AI Basics for Managers. Harvard Business Review Press  
  • MetodologiaMethodology
    Design Thinking and Co-creation Workshops: Practical sessions to identify problems and solutions with design thinking, promoting creativity and innovation. Project-Based Learning: Each student will develop a real project, applying the knowledge acquired in a practical context. Case Studies and Problem Analysis: Discussion of real cases to promote critical thinking and strategic decision-making. Feedback and Mentoring Sessions: Close follow-up with feedback and mentoring, enabling the project plan to be aligned with organisational needs.
  • LínguaLanguage
    Português
  • TipoType
    Anual
  • ECTS
    2
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não