Offered Subjects

Digital Transformation of Universities: Design of a Multi-Perspective Modelling Method based on MEMO

  • Master Thesis Business Information Systems



Universities need to respond to the challenges created by digitization and corresponding changes on the global markets for higher education. These challenges are not restricted to the creation of new teaching material, but comprise services and processes, and may even affect the nature of university degrees. For a university to successfully manage the required change, it is essential to apply a methodical approach that is based on an elaborate analysis of possibilities and thread – and that accounts chiefly for the potentials of information technology. This master thesis aims at adapting an existing method for enterprise modelling to the topic of university modelling. To this end, it is at first required to analyse peculiarities of universities that are not covered by enterprise modelling. Subsequently, an existing method for enterprise modelling is to be adapted to fit those specific needs. That will comprise generic frameworks, and the outline of additional language concepts. Finally, the method is to be validated through its exemplary application.


Brink, C. (2018). The Soul of a University: Why Excellence Is Not Enough. Bristol: Bristol University Press.

Brynjolfsson, E., & McAfee, A. (op. 2014). The second machine age: Work, progress, and prosperity in the time of brilliant technologies. New York: W. W. Norton & Company.

Frank, U. (2011). Multi-Perspective Enterprise Modelling: Background and Terminological Foundation (ICB Research Report No. 46). Retrieved from ICB University of Duisburg-Essen, Campus Essen website:

Frank, U. (2014). Multi-Perspective Enterprise Modeling: Foundational Concepts, Prospects and Future Research Challenges. Software & Systems Modeling, 13(3), 941–962.

Frank, U. (2013). Domain-Specific Modeling Languages - Requirements Analysis and Design Guidelines. In Iris Reinhartz-Berger, Aron Sturm, Tony Clark, Yair Wand, Sholom Cohen, & Jorn Bettin (Eds.), Domain Engineering: Product Lines, Conceptual Models, and Languages (pp. 133–157). Springer.