The AI and Data module offers you a foundational understanding of data analytics, AI, data quality, and data strategies while developing the ability to address related challenges and solutions with stakeholders. You will learn to enhance organizational practices, build data capabilities, and navigate technical and cultural barriers to data sharing effectively.

This program addresses leadership and organizational perspective of digitalization, including how to use data-based insights in leading people, how to collaborate in digital ecosystems across organizational boundaries, and how to lead people in digital transformation.

AI Methods and Applications module will increase your understanding of how data, analytics, and AI can enhance organizational practices, drive innovation, and support strategic decision-making. You will gain practical knowledge of advanced AI methods, including their applications, implementation, and the ability to address challenges while fostering efficiency and competitive advantage.

This program provides you with an in-depth understanding of the ongoing changes in strategy and management practices brought by contemporary digital technologies. The program will increase your understanding of the technical changes, economic logic, and new business models driving the ongoing digital transformation. After the program, you will be able to identity, foresight, and respond to changes taking place in an industry, including the shift toward digital ecosystems.

The focus of the training program is to develop business-oriented data management work and the use of digitalization to develop a company's business activities. You will explore business and IT strategy coordination, ICT management, portfolio management, and customer-oriented service production.

Real-World Impact of AI Applications module explores the interaction of AI systems with society, focusing on sustainability, security, and data privacy. You will gain insights into addressing challenges in AI development, including ethical concerns, data protection, and continuous improvement, while leveraging opportunities with open data and open-source solutions.

Future Considerations of AI module delves into cutting-edge topics based on the most current and relevant themes and phenomena, such as AI agents, explainable AI, quantum machine learning, and edge AI, emphasizing their applications, challenges, and transformative potential. You will gain a deep understanding of integrating technologies such as IoT and quantum computing while prioritizing transparency, safety, and industry innovation.

This program touches on digital transformation, especially from the perspective of technology and data. During the program focus on how digitalization, platform economy, digital technology strategies, and innovative business models are transforming and providing new opportunities for business. We will also investigate data strategy and how to build a competent data team.

The program provides a comprehensive and strategic perspective of modern analytics and its uses. The program combines strategy and theory with examples of practical analysis.