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Back to MBA Digital Transformation & Data Science

MBA Digital Transformation & Data Science | Curriculum

Professional MBA in Digital Transformation & Data Science Curriculum

Take a world-class MBA while pursuing your career.

The Business Core modules cover vital economic and business administration expertise alongside up-to-date management and leadership tools and techniques. The Specialization modules allow participants to gain profound knowledge, expertise and competencies in a chosen function or industry.

Below, please find an overview of all modules taught during the MBA. Click on the module names for detailed content information.

In addition to the Business Core you are enrolled in the following specialization modules:

    • Digital Transformation

      Digital technologies have significantly influenced economic rules and the way businesses operate. For example, digital platforms such as Amazon, Airbnb, or Uber have become the dominant players. Furthermore Internet of Things (IoT) and industrial internet transform physical goods into information based services to only name a few. Through all this change the world is more volatile, uncertain, complex and ambiguous (VUCA world) and requires new skills. Organizations are becoming more customer-centric, agile, and networked.

      In this module students examine the pace of digital change and the imperative it creates for their businesses, also considering disruptive competitors from outside the industry. They learn what it takes to win in the digital age and how to identify key areas to digitize including strategy, core processes, and technology and to prepare their organizations as responsible leaders for this change.

    • Data Science: Concepts & Application Domains

      • Overview and case studies from different application domains (e.g. marketing, supply chain, production management, process management, finance)
      • Data processing and data analytics: concepts & methods
      • Selected case studies in depth
    • Data Science: from Data Science to Big Data

      • Data science project kick-off
      • Legal and ethical foundations and data security
      • Big data methods and algorithms
      • Data workflows, distribution, advanced techniques (e.g. semantic technologies, text extraction)
      • Commercial data science tools fair
      • Advanced data analytics
    • Data Science: Trends & Outlook

      • Data processing and data analytics trends and outlook
      • Application of data science
      • Special guest talks by distinguished academic speakers and experienced experts from practice
      • Data science project presentations
    • Writing a scientific paper

      At the end of the MBA program, students have to write a master thesis in order to receive the academic degree of Master of Business Administration (MBA). The intention of the master thesis is to guarantee that the graduate of the MBA program is able to write scientific papers on his or her own.

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