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Who should attend
The CAS program targets senior managers and executives that want to play a key role in the digital transformation of their organizations. The program is ideal for executives with little or no expertise in data analysis, statistics or programing.
The program is well suited for:
Decision makers who want to become more data and analytics savy
Digital officers, technology officers and individuals launching big data, data science and artificial intelligence projects / teams
Managers in marketing, supply chain, information technology, human resources, talent management, product development, operations and other strategy-related functions
Individuals from business intelligence-related functions that want to go the next step
About the course
Be a Leader in the data-driven transformation of your organization.
Do you want to real challenges while developing your own data innovation project? This CAS program enables executives and decision-makers how to harness the potentials of big data and artificial intelligence. During 16 on-campus days you learn how to improve your daily business operations and develop an innovation idea into a prototypic data-driven business solution in order to create competitive advantages.
Become a leader in the digital and data-driven transformation of your organization
Learn to speak data science and artificial intelligence (AI)
Be equipped with a data science toolbox that helps you improve your daily business
Apply agile methodologies to develop innovative data-driven business solutions that deliver true customer value
Learn to build scalable and effective Big Data & AI organizations
Learn to speak data science and artificial intelligence
Be equipped with a big data and artificial intelligence toolbox that helps you improve your daily business
Apply the lean startup approach and other agile methodologies to develop innovative data-driven business solutions that deliver true customer value
Learn how to build scalable data-driven organizations that excel
With its explicit focus on developing data-driven innovations as well as the data-driven transformation of organizations, the program offers a unique learning experience. Deeply rooted in the University of St.Gallen footprint in business engineering and transformation and completed by state-of-the-art expertise of the university’s big data and artificial intelligence experts, the program equips participants with all business-related, technical and legal knowledge to make a difference in their organization and become true leaders in the data-driven transformation.
For reaching this overarching goal, the program builds on four overarching themes:
- The data-driven organization and competing on analytics (module 1)
- Organizational, technical and legal pre-requisite for managing data as strategic asset (module 2)
- Gaining practical experience in implementing big data & artificial intelligence algorithms (module 3)
- Building scalable organizational structure for big data & artificial intelligence (module 4)
Across all modules, participants gain hands-on experience in developing and implementing a data-driven innovation project from data collection to implementing a scalable operating model under supervision of HSG lecturers, industry experts and other participants (module 5).
Dienstleistungsengineering & Management (Product Service Systems, Service Design, Service Innovation, etc.), Collaboration Engineering (CSCW, Collaborative Requirements Engineering, Virtuelle Communities, Social Computing, etc.), Crowdsourcing, IT Innovationen & IT Innovation Management (...
2009-2012: Promotion am Lehrstuhl für Wirtschaftsinformatik (Prof. Krcmar) der Technischen Universität München (Deutschland) 2003-2009: Studium Technologie- und Managementorientierte Betriebswirtschaftslehre an der Technischen Universität München (Deutschland) 2005-2006: Erasmus-Austausch an der ...
Wissensmanagement; Wissensvisualisierung; Managementkommunikation; visuelle Kommunikation; Kommunikationsmanagement; Strategisches Management; Neue Medien; Kreativität in Teams Further fields of research Managementkommunikation, Visuelle Kommunikation, Geschäftsmodellinnovation, Strategisches Ma...
Ali Sunyaev is Director of the Institute of Applied Informatics and Formal Description Methods (AIFB) and Professor at the Karlsruhe Institute of Technology (KIT). Before joining KIT he was Professor at the University of Kassel and the University of Cologne. Ali Sunyaev received his PhD in Inform...
Prof. Dr. Damian Borth is Professor of Artificial Intelligence & Machine Learning at the Institute for Computer Science at the University of St. Gallen. Before he served as the Director of the Deep Learning Competence Center at the German Research Center for Artificial Intelligence (DFKI) in ...
Experienced Full Professor with a demonstrated history of working in the higher education industry. Skilled in Computer Science, Data Visualization, Knowledge Management, Neural Networks, and Text Mining. Strong engineering professional graduated from Karlsruhe Institute of Technology.
Melinda Lohmann currently works at the Research Institute for Information Law, University of St.Gallen. Melinda does research in Legal Fundaments and Civil Law, with a focus on Robot Law and legal aspects of Self-Driving Vehicles.
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.