Digital ledelse
The course equips students with the theoretical knowledge and practical skills necessary to lead and manage in the digital era. Students will study the fundamental components and theoretical frameworks needed to understand information systems, and will learn effective strategies for implementing digital initiatives.
Key topics include understanding business processes as the foundation of information systems, developing and leading digital strategies, and addressing the ethical and social challenges associated with digital transformation. The course covers effective data management practices such as data governance, data quality, and data analytics to support informed decision-making and strategic planning. It also explores the information systems development process, business intelligence, and emerging digital technologies like Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and cloud computing, analyzing how these innovations impact various aspects of business operations.
The course features guest lectures from business experts, providing students with relevant insights into real-world applications of digital management concepts. Through case studies, simulations, and hands-on activities, students will apply their knowledge to real-world scenarios. They will develop the skills to use digital technologies to enhance decision-making, foster innovation, and lead successful digital transformations in a dynamic, global business environment.
Knowledge
By the end of the course, students will have acquired:
- A deep understanding of the key components of information systems, including management, organizational structures, data management, and technology.
- Knowledge of theoretical frameworks for studying information systems and managing digital initiatives.
- A thorough understanding of business processes and their role as foundational elements within information systems.
- Comprehension of effective data management practices, including data governance, data quality, and data analytics.
- An understanding of the ethical and social challenges associated with the digitalization of organizations.
- Knowledge of emerging digital technologies such as AI, VR, AR, and cloud computing, along with their impact on business operations and strategy.
- Insight into the business intelligence process and how data analytics support informed decision-making.
- Familiarity with the phases and methodologies involved in information systems development.
- Knowledge of generative AI technologies, their practical applications, and potential implications for business innovation and process automation.
Skills
By the end of the course, students will be able to:
- Apply knowledge of digital management to analyze organizational needs and recommend appropriate digital solutions.
- Develop and articulate digital strategies aligned with organizational goals.
- Utilize data management techniques to improve data quality and support strategic decision-making.
- Employ digital tools, including generative AI technologies, to enhance decision-making processes, automate tasks, and improve business efficiency.
- Create and implement digital strategies that leverage generative AI to drive innovation, efficiency, and personalization.
- Lead and manage digital transformation projects, applying theoretical knowledge in practical contexts such as case studies and simulations.
- Solve complex problems by integrating an understanding of business processes with digital tools and AI-powered solutions.
- Address ethical and social considerations in implementing digital initiatives, particularly when using AI technologies.
Competences
Upon completion of the course, students will demonstrate the ability to:
- Leverage generative AI technologies to optimize business processes, enhance decision-making, and foster innovation across different business functions.
- Adapt to emerging digital trends, such as AI and automation, integrating them into business strategies and operations.
- Collaborate effectively with peers and interdisciplinary teams in digital project environments, using AI tools to enhance teamwork and productivity.
- Reflect on professional development in the field of digital management, continuously improving approaches based on feedback and evolving AI capabilities.
- Promote responsible, ethical, and sustainable use of digital and AI technologies in decision-making and business operations.
