M.Sc. Information Systems
On this page, we present the courses we offer in our Master study program "Information Systems". If you study in another program, you may also be able to elect some of these courses, please refer to this page or your module catalogue for more information.
The Field of Study
Information Systems is an independent interdisciplinary subject area, which has its roots in computer science and economics, in particular business administration. Studying Information Systems opens up a wide range of applications for graduates at the interface of business administration and computer science, especially in the planning, development and introduction as well as operation of information systems.
In this context, business IT specialists perform a translation function between the business world of thought and language on the one hand and a technically anchored system environment on the other. In particular, business computer scientists find fields of activity in the field of the use of information technology which require knowledge of the respective subject areas, in particular business management knowledge. They can therefore be used in a wide range of company areas and industries. Business information technologists can perform corresponding coordinating functions between IT specialists and technical specialists on the application side, whereby consulting services and project management are in the foreground. Due to the high innovation dynamics of IT as well as its inherent innovation potential, business IT specialists are also equipped for entrepreneurial activities (entrepreneurship). Abilities like the organisation of specific application systems, business process organisation, technical system draft, requirement analysis, organisational implementation, change management, the spreading architectural organisation of the information system landscape as well as the organisation and co-ordination of an internal as well as intercompany information management are obtained.
The range of methods includes in particular methods of modelling data, processes, as well as general internal and external structures and corresponding application systems, and depending on the choice of study depth also methods of data analysis (business intelligence, data science) or product and business model innovation. Master's graduates have built up these skills in depth during their studies and thus aim at higher and more advanced career paths in business and administration. By means of a targeted specialisation, either in an informational or business context, the respective specialist focus is set. Typical topics include, for example, the organisation of the IT function in a company or system analysis and development as well as IT architecture. Central for business informaticians is the application-oriented implementation of mostly formal, quantitative and system analytical methods in addition to the ability to explain phenomena, behaviours of actors as well as interrelationships of the use of IT in organisations (explanation goal of business informatics). Due to the increasing importance of digitized data, there is an increasing demand for graduates who are familiar with the acquisition, storage, search, distribution, modelling, analysis and visualization of large amounts of data (Business Intelligence, Data Science). Here a broad, predominantly informatically founded method spectrum is to be mastered. In particular, it requires the ability to conceive corresponding systems and to guide their development with technical understanding (design goal of business informatics). The spectrum of effects of the graduates ranges from the design of innovative products or processes to business models.
Course Overview and Recommended Study Plan
Computer Science
In the Computer Science section, you have two modules, within which you have several elective options. These courses are all offered by the Institute for Computer Science. Please check their website or KLIPS for details.
Supplementary Section
In the supplementary section, you can choose one of the following specializations:
- Accounting and Taxation
- Business Analytics and Econometrics
- Corporate Development
- Economic Psychology
- Finance
- Marketing
- Supply Chain Management
- Economics for Business Administration
- Media and Technology Management
- Political Science
- Sociology
- Tax Law
if you want to spend a semester abroad, there is the special supplementary section Studies Abroad, in which you can get courses from your foreign university accredited.
Except for Business Analytics and Econometrics, the courses within the supplementary sections are all offered by other departments. Please check their website, KLIPS, or the module catalogue for details.
Supplementary Section: Business Analytics and Econometrics
If you choose Business Analytics and Econometrics as your specialization, some of the courses are offered by Prof. Weinmann's chair of our institute.
Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This specialization offers a unique blend of traditional analytics (e.g. statistics, econometrics, optimisation, simulation) and modern analytical approaches (e.g. machine learning and artificial intelligence using R and Python) and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship.
4th Term (Summer): Master Thesis
In the fourth term, you focus exclusively on writing your master thesis. Please find more information here.
List of Courses Offered by Our Institute
Summer Term 2026
| Course Title | Module* | Profile** | Instructors | Links | ||
|---|---|---|---|---|---|---|
| DS | BI | DI | ||||
| Advanced Analytics and Applications | SM Information Systems I | X | Wolfgang Ketter, Janik Muires | Course Page KLIPS (Lecture) KLIPS (Exercise) | ||
| Emerging Electronic Business | SM Information Systems II | X | Detlef Schoder | KLIPS (Lecture) KLIPS (Exercise) | ||
| Artificial Intelligence and Information Management | SM Information Systems III | X | Detlef Schoder, Johannes Melsbach | KLIPS (Lecture) KLIPS (Exercise) | ||
| Metaverse Technologies and Business Models | SM Information Systems III | X | Stefan Seidel | Course Page KLIPS | ||
| Advanced Seminar Information Systems and Digital Technology | SM Seminar Information Systems I/II | X | Stefan Seidel | Course Page KLIPS | ||
| Advanced Seminar Information Management | SM Seminar Information Systems I/II | X | X | Detlef Schoder, Philipp Mazur | KLIPS | |
| Advanced Seminar Collaborative Innovation Networks | SM Seminar Information Systems I/II | X | X | Peter Gloor, Simon Wolf | KLIPS | |
| IS Research: Analytics for a Sustainable Society | SM Seminar Information Systems I/II | X | X | this course won't take place in the summer term 2026 | ||
* BM = Core Module (German: "Basismodul"); SM = Specialization Module (German: "Schwerpunktmodul")
** DS = Digital Sustainable Society; BI = Business Intelligence and Data Science; DI = Digital Innovation and Entrepreneurship
Winter Term 2025-26
| Course Title | Module* | Profile** | Instructors | Links | ||
|---|---|---|---|---|---|---|
| DS | BI | DI | ||||
| Information Systems and Environmental Sustainability | BM Information Systems I | X | Stefan Seidel | Course Page KLIPS | ||
| Analytics and Applications | BM Information Systems II | X | Wolfgang Ketter, Janik Muires | Course Page KLIPS | ||
| Digital Transformation and Innovation | BM Digital Transformation | X | Detlef Schoder, Tom Celig, Oliver Rath | KLIPS (Lecture) KLIPS (Exercise) | ||
| Case Project Digital Transformation | SM Information Systems I | X | Nikolaus Schmidt | KLIPS | ||
| Sustainable Digital Innovation Lab | SM Information Systems I | X | (X) | Katharina Drechsler, Stefan Seidel, Christian Hovestadt | Course Page KLIPS | |
| Digital Design | SM Information Systems II | X | Christoph Rosenkranz, Florian Wagner | Course Page KLIPS | ||
| Applied Mathematical Optimization | SM Information Systems III | X | (X) | Wolfgang Ketter, Saber Talari, Lennard Sund | Course Page KLIPS | |
| Decision Making under Uncertainty | SM Information Systems III | X | Ziyue Li | KLIPS | ||
| Advanced Seminar Information Management | SM Seminar Information Systems I/II | X | X | Stefan Hirschmeier | KLIPS | |
| Advanced Seminar Collaborative Innovation Networks | SM Seminar Information Systems I/II | X | X | Peter Gloor, Johannes Melsbach | KLIPS | |
| Advanced Seminar Information Systems for Sustainable Society | SM Seminar Information Systems I/II | X | X | Wolfgang Ketter, Anna Taudien | Course Page KLIPS | |
| Programming for Data Analytics | BM Data Analytics II | X | Markus Weinmann, Sercan Demir | Course Page KLIPS | ||
| Machine Learning and Artificial Intelligence | BM Data Analytics III | X | Markus Weinmann, Christopher Coors | Course Page KLIPS (Lecture) KLIPS (Exercise) | ||
| Data Management and Visualization | BM Data Analytics V | X | Markus Weinmann, Stefan Rose | Course Page KLIPS | ||
* BM = Core Module (German: "Basismodul"); SM = Specialization Module (German: "Schwerpunktmodul")
** DS = Digital Sustainable Society; BI = Business Intelligence and Data Science; DI = Digital Innovation and Entrepreneurship