The master’s programme consists of 120 ECTS and is designed as a 4-semester full-time programme. It is a consecutive master degree based on a bachelor degree within the field of Information Systems. The Core and Advanced Section of the master programme contains 18 credit points. This area covers the methodological and content-specific basics of information systems. The Specialisation Section, where students altogether complete 48 credit points, includes modules from information systems and computer sciences as well as two specialisation seminars. The Supplementary Section serves as an additional section to develop a more specific profile – either by deepening and specialising or by diversifying knowledge. Altogether an area of 24 credit points has to be completed, in which modules from business administration, economics and social sciences are available to students.

In the IS-related SPecialization section, students can focus on one of the following three main areas:

  • Business Intelligence and Data Science
  • Digital Innovation and Entrepreneurship
  • Digital Sustainable Society

For those interested in research, a doctoral programme under the supervision of one of the chairs in Information Systems is possible. As a fast track option, courses that are credited within the promotion are already possible during the master’s programme.


  • Study in an open-minded city in the heart of Europe
  • As a state-funded German university we do not have any tuition fees (only 500 Euros semester contribution each year)
  • Take a semester abroad at one of our 120 partner universities worldwide
  • Benefit from excellent professional perspectives that are also confirmed by consistently high positioning in rankings
  • Focus on digital analytcis, entrepreneurship, or sustainability!


Business Intelligence and Data Science
The "Business Intelligence and Data Science" profile focuses on the topics of data science, business analytics, applied machine learning and parts of artificial intelligence (AI). The focus here is on generating value and knowledge from data. We translate real business questions into concrete information systems; we model data, set up abstract models and apply a broad spectrum of modelling and analysis methods. Typically, we answer entrepreneurial questions using algorithmic and heuristic methods, which are either developed as software or programmed by modifying existing information systems. We use corresponding software tools, interpret, visualize and discuss the results in context and evaluate the consequences of the practical implementation of corresponding information systems. For this purpose, we use methods from statistics, econometrics, machine learning and AI for questions in the areas of marketing, finance, energy markets, production and logistics. The profiling of "Business Intelligence and Data Science" thus prepares master students for different career paths in data science and analytics. This includes the classic Data Scientist with strong management competence, consulting roles in digital and data-driven projects and also roles as CEO or Data Scientist of founding companies that plan and decide on the basis of evidence
Digital Innovation and Entrepreneurship
The profile"Digital Innovation and Entrepreneurship"focuses on the topics of digitalisation, digital transformation as well as IT-and data-based start-ups. Students learn skills, methods and approaches for the development of digital business models, for example through the application of design thinking and business patterns, learn entrepreneurial basics, can develop their own startup ideas and independently implement digital innovations based on technologies such as artificial intelligence, machine learning or blockchain. The profile "Digital Innovation and Entrepreneurship" trains master students for career paths that have a stronger focus on innovation and entrepreneurship. Supported career goals include roles such as Digital Trans-formation Program Manager, Chief Innovation Officer, CEO of start-up companies or consultant roles in the areas of digital business models, process digitization or design-led innovation.
Digital Sustainable Society
The "Digital Sustainable Society" profilefocuses on digitalisationand the transformation to a more sustainable society. Students learn sound methodological skills from the areas of Big Data, Data Science and Machine Learning and at the same time gain deep insights into the topic of sustainability, especially with regard to the energy and mobility system. In addition to theoretical basics, teaching focuses on practical applications. Within the framework of data science projects, students work with real data from the energy (consumption and production data, microgrid transactions, etc.) and mobility industries (car sharing, bike sharing) and thus learn IT-related methods for concrete applications.The "Digital Sustainable Society" profile enables Master's students to pursue careers in the fields of start-up and innovation, for exam-ple through new business models in the energy industry or the provision of mobility services. On the other hand, the focus on methodological competencies (in particular data science and machine learning) also makes it possible to work as a data scientist. In addition, the graduates of the profiling program are excellently equipped for classical consulting roles and industrial activities, especially with regard to digitization and sustainability.
Schedule Full-time
Duration 2 Years
Presence of students On-campus
Enrollment capacity per term 46
Scholarships available Yes



The following unit is an elective in the Master’s Programme in Information Systems (IS) at the University of Cologne and addresses master students in their second year. In this unit, we simulate a project-based digital innovation lab. The objective is to develop a novel digital solution to a chosen sustainability innovation challenge problem. With this objective, we have two specific foci: 1. Address a Sustainability Innovation Challenge Problem and 2. Develop a Digital Artifact as a Solution to the Innovation Challenge. We define a sustainability innovation challenge as a problem of either environmental or social but not primarily commercial value. As inspiration, consider the Sustainable Development Goals of the United Nations that provide a set of goals and agenda for peace and prosperity. The digital solution must consist of both hardware and software components. For the hardware components, we will provide a selected hardware technology stack (e.g., Arduino Development Platform) and budget for acquiring extensions. In teams, the students’ task is then to develop a software solution for the hardware technology stack such that a digital innovation can be realized addressing a freely chosen problem setting. We deem this course valuable and complementary to the traditional IS curriculum. First, students are presented with an alternative perspective to develop meaningful solutions with the help of information systems by seeking primarily social and environmental value. Second, students are provided with a high degree of autonomy concerning problem selection and usage of underlying technology (within the course boundaries, e.g., budget available, sustainable development goals). Third, a strong emphasis is set on creativity and thinking outside the box, which we deem complementary to traditional capability development goals of the IS curriculum.  



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