Department of Information Systems, Production and Logistics Management

Innsbruck, Austria
Information Systems


The University of Innsbruck is a public university. The University was founded in 1669 and is the biggest and most important research and education institution in western Austria, today comprised more than 28.000 students and more than 4.500 staff and faculty members. Located in the heart of the Alps, the University of Innsbruck offers the best conditions for successful research and teaching, and international rankings confirm the University’s leading role in basic research.

In such a productive environment 16 faculties provide a broad spectrum of programs in all fields of study. In order to promote international exchange in research and teaching, the University collaborates with numerous international research and education institutions.

Master Programs

The Master programme in Information Systems offers a blended mixture of management and computer science concepts, modelling skills and hands-on experiences in small groups applying leading-edge information technologies to real-world business opportunities. Typical challenges are development, customizing and continuous improvement of enterprise systems, establishing information infrastructures for knowledge workers, horizontal, vertical, business process-oriented and inter-organisational integration or development of IT-oriented business models and strategies. Information systems are part of a series of value-adding activities for acquiring, transforming, and distributing information so that managers can improve their decision making process, enhance organisational effectiveness and performance. A key asset of the Master programme in Information System is its joint offering by experienced faculty in Information Systems, Management and Computer Science integrating a business and a computer science perspective on information systems into the process of learning.


Master program: Information Systems - Managing IT for Global Value Networks


Students get a detailed perspective on information and communication systems as object of investigation of the IS discipline. The lecture deals with the structure of business information systems as well as representing and enabling business processes and the integration of business functions with the help of business application systems and ERP systems as well as data, function and process integration methods and techniques for their connection. The lecture also comprises contents dealing with the design, development, customizing, value judgment, adoption, acceptance and assimilation of business information systems.


The lecture provides a comprehensive overview about business process modeling and enterprise modeling in the organizational context. Therefore, a detailed analysis of modeling methods and techniques, process analytics and optimization approaches as well as reengineering approaches takes place. Additionally selected reference models are discussed.


The lecture covers the fundamentals of information and knowledge management. In this context, information management is considered as a leadership function, with information and communication being seen as production factors in enterprises. From the perspective of knowledge management, enterprises are presented as knowledge-based systems. Accordingly, students are prepared for managing the utilization and the further development of knowledge. Moreover, the lecture focuses on the description of functions along the value chain of knowledge.


The lecture covers the fundamentals of database systems, both from a user perspective - i.e. the modeling and creation of a data base, queries (SQL), and optimization - and the underlying concepts of the internal level of a database, transaction management, efficient storage (tuning), and system recovery after a crash 


The lecture offers students detailed knowledge and methods for managing and organizing IT projects. Using the individual phases of project planning and implementation, students learn about description, analysis, and design methods used in IT projects and become acquainted with IT auditing. 


Describing the Value Chain: The SCOR Model, Taxonomy of Manufacturing Systems and Supply Chains, Modeling Material Flows, Linking Planning Concepts and IS Design, Business Processes in Value Chains: Reference Structures and Reference Models, Semantic-based Process Management, IT Investment Portfolio Management, Customer Relationship Management, Data Quality Management.


Starting with a review of traditional operations management techniques, including inventory control and material requirements planning (MRP), we will proceed with examining the dynamic behaviour of manufacturing systems and the basic relationships between the performance measures. Continuing with working up the subtle influences of variability, we describe concepts for improving the performance of manufacturing systems especially with respect to flow time and inventory reduction (e.g., Just-in-Time, push/pull systems).The course will end with an overview of supply chain management.



Overall ratings for Department of Information Systems, Production and Logistics Management