Joint Certificate Programme in Digital Transformation

• Teaching institution: NHH Norwegian School of Economics
• Lecturer: Dr. Karen S. Osmundsen
• Date: TBD
• Contents:

The course consists of four main overarching topics. These are the digital organization, leading the digital transformation, creating the digital organization, and leading a digitally agile organization. Students will analyse how digitalization affects the organization at all levels and areas and discuss the capacities of digital technologies that enable the organization’s digital initiatives. Further, students will understand how digital technologies have changed the expectations of customers, employees, and society, and learn how to develop a responding digital transformation strategy and the capabilities needed. Third, they recognize the key building blocks of digital business success and examine the digital leadership values and create an executive summary for digital maturity.

Lastly, students will recognize which aspects of leadership are changing and analyse why the stakes are rising for leaders. Students will understand what fostering an agile culture of collaboration, innovation, co-creation and learning means.

• Learning outcomes:

The course provides students with the relevant knowledge, perspectives, and practical skills needed to lead in the digital age. Second, students will learn which aspects of leadership are changing and why and understand how digital technologies have changed the expectations of employees, customers, and society. After this course, students can demonstrate knowledge of the most recent research in the field of leadership and digitalization.

• Teaching institution: University of Mannheim
• Lecturer: Maximilian Beichert
• Date: TBD
• Contents:

Companies around the world are facing a fundamental shift in the way customers and businesses interact. Customers are now customer networks, they expect more from companies and brands, and information reaches them faster than ever before. At the same time, companies must develop new business model innovations and disrupt markets. Examples of digital disruption include platforms, AI, and blockchain technology. The rise of digital technologies has fundamentally changed the way companies develop digital strategies. In addition, data is being used as a strategic asset by many companies, and companies also need to develop a thriving data strategy. The ultimate goal of this course is to provide insight into the digital strategies that companies can employ to position themselves for success in the age of social, digital, and mobile for digital business models.

• Learning outcomes:

The course provides students with the relevant knowledge, perspectives, and practical skills needed to develop digital strategies that leverage the power of digital technologies such as blockchain and AI to achieve business and marketing goals. Second, students will learn how to leverage and optimize data to continuously create value as data has become key to competitive advantage. After this course, students will understand the customer journey from start to finish and be able to uncover the series of channels customers use to make a purchase.

• Teaching institution: WU Vienna University of Economics and Business
• Lecturer: Prof. Dr. Martin Kornberger
• Date: TBD
• Contents:

This course explores the ethical issues associated with digital transformation across business and society. The course will address a range of current questions and issues by applying key ethical theories and foundations of ethics in philosophy. The course will apply ethics in digital spheres and introduce moral principles and associated values to be respected in the development, implementation and use of AI systems and other new technologies. Finally, the course shows how your businesses can and must practice ethics digitally.

• Learning outcomes:

The course provides important theoretical tools for understanding how moral decisions are made in the digital world. Students will become familiar with digital ethics and theories of moral action. At the end of the course, students will understand the regulations around data collection and usage and the ethical questions that emerge.

• Teaching institution: Tilburg University
• Lecturer: Dr. Shiva Shekhar
• Date: TBD
• Contents:

Digital transformation can greatly improve the way companies are creating and capturing value, including the way they develop new products and services. This course introduces the multi-sided platform business model and the importance of platform orchestration and governance strategies. Further, it provides insights on the best practices to successfully interact with existing platforms and optimize a symbiotic relationship. Finally, the evolution of new technologies into potential platforms will be discussed. In this course, students will have an opportunity to apply concepts from platform economics and organization using game theoretical tools and case studies to real world problems.

• Learning outcomes:

The course provides students with the relevant knowledge, perspectives, and practical skills needed to develop multisided platform strategies that leverage the power of digital technologies. Second, students will learn how to turn products into platforms to compete in digital marketplaces. After this course, students will understand challenges associated with platforms and are able to develop strategies to deal with such challenges.

• Teaching institution: University of National and World Economy
• Lecturer: Dr. Sabrina Kalinkova
• Date: TBD
• Contents:

This course is designed for students in master’s degree and helps them to understand, communicate, and adapt to a digital world as it impacts their personal life, society, and the business world. Students will not only understand the concepts, but apply their knowledge to situations and defend their actions/decisions/choices through the knowledge and skills acquired in this course. Employability skills are integrated into activities, tasks, and projects throughout the course standards to demonstrate the skills required by business and industry. Various forms of technologies will be highlighted to expose students to the emerging technologies impacting the digital world. Professional communication skills and practices, problem-solving, ethical, and legal issues, and the impact of effective presentation skills are taught in this course as a foundational knowledge to prepare students to be career ready.

• Learning outcomes:

The main topics that will be covered in the course are related with the theory and methods of using the descriptive, predictive, and perspective modelling, as well as the assessment of different sources of data. The nature and essence of big data analytics will be discussed in the course, as a bridge to the topic related to sources of value in the digital world. More practical will be the topics for FinTech and Blockchain, as well as, this focused on the nature of clouds, their use, and the importance of mobile devices.

• Teaching institution: Université Toulouse 1 Capitole
• Lecturer: Dr. Jamal Azzam & Dr. Nicola Mirc 
• Date: TBD
• Contents:

The aim of this course is to introduce students to the challenges of corporate growth in modern digital economies, in particular regarding accessing and developing digital assets and intellectual property. The course is organized in two parts.

A first part focuses on the recent developments of the strategic management of patents in modern digital economies. Participants will discover the emergence and the role of the patent system in modern economies and how technological companies try to protect their innovations and to use their patent portfolios in service of their business strategies in a digital era. It covers internal strategies and ways to organize for managing patent and licensing strategies as well as patenting in collaborative arrangements.

A second part addresses then more specifically external growth strategies to access patents but also more generally digital solutions and assets. It addresses in particular the strong increase in technology acquisitions and alliances in past years and introduces students to the particular strategic and organizational challenges that external digital growth induces (i.e. integrating and leveraging acquired intellectual property, transferring knowledge between companies and teams of engineers, implementing co-innovative practices between R&D departments from merging companies, etc.).

• Teaching institution: Luiss University
• Lecturer: Giorgio Piccardo
• Date: TBD
• Contents:

Artificial intelligence (AI) makes it possible for machines to learn from experience, adapt to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars – heavily rely on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data. The aim of the course is to introduce the most important topics both from a technological and a business point of view.The course is divided into five modules: the age of AI, the AI first company, automation and AI, disruption from AI and blockchain technologies and overcoming AI challenges. Issues related to cybersecurity and privacy will be discussed, we will talk about the impact that AI and automation will have on future jobs, we will examine what makes an industry ready for transformation from either AI or blockchain technology and we will talk about the overcoming challenges of developing strategy in today's AI landscape. Artificial Intelligence has transformed the way people think, learn, and work in various areas, with every company seeking to introduce Artificial Intelligence in their domain, studying AI and Machine Learning opens a world of opportunities to create cutting-edge technologies in diverse sectors.

• Learning outcomes:

The course provides students with the relevant knowledge, perspectives, and practical skills to identify and assess the possibilities for AI in organizations. After completing the course, students will have a strong conceptual understanding of the technologies behind AI such as machine learning, deep learning, neural networks, and algorithms. Students will be able to develop an informed opinion about AI and its social implications. After this course, students will understand AI, its history, and evolution, helping you to make relevant predictions for its future trajectory.

• Hosting institution: University of Mannheim
• Date: First week in July 2024
• Content:

The summer seminar takes the content taught in courses throughout the semester, combines it, and takes it to the next level through real-world case studies with our international corporate partner SAP. SAP is one of the largest enterprise software companies in the world, helping companies of all sizes and industries run better. Together as a cohort, you will spend exciting days at the SAP AppHaus applying design thinking techniques to solve exciting digital cases. This will allow you to directly apply what you have learned and gain valuable insights into the practice of the respective business area. In addition, a great social program awaits you and you get to know the area around Mannheim and the metropolitan region.