Master | Information Systems

Master of Science in Information Systems

Information Systems


The Master of Science in Information Systems (German: Wirtschaftsinformatik) at the University of Münster - School of Business and Economics is a combination of disciplines such as Computer Science, Statistics, and Business Administration, providing a unique environment for studies and research. The research aspect of the program is further strengthened by the international orientation of the European Research Center for Information Systems (ERCIS), bringing together researchers from universities across Europe. The MSc in Information Systems graduates have skills to assess and properly configure sophisticated information technologies for use in companies and administrative departments. The study programme prepares students for careers both in research and practice. On the one hand, it facilitates students' entry into the corresponding doctoral programmes. On the other hand, the programme prepares students for future careers in the fields, which especially value comprehensive education, such as management, consulting, and software production and usage. The purpose of the study programme is, therefore, to provide students with the required in-depth scientific knowledge, skills, and competencies in the aforementioned areas.


  • Learn from the best as our institute hosts more than eight chairs and interest groups that deal with information systems in their daily academic life
  • In step with actual practice by providing training courses for relevant software, project seminars, and lectures on latest research topics
  • Get in touch with your future employer during guest lectures, project seminars, or thesis projects; or get in touch with international research by writing your master's thesis abroad.
  • Comprehensive student exchange program for studying abroad
  • Study in one of the most liveable cities of the world (awarded in 2004)


Information Management (IM)
Comprises the modules: Managing the Information Age Organization, IM Tasks and Techniques, IM Theories
Process Management (PM)
Comprises the modules: Information Modeling, Enterprise Management Architecture, Workflow Management
Business Networks (BN)
Comprises the modules: Interorganizational Systems, Information Security, Network Economics
Business Intelligence (BI)
Comprises the modules: Management Information Systems and Data Warehousing, Data Analytics 1, Data Analytics 2
Information Systems Development (ISD)
Comprises the modules: Logic Specification and Logic Programming, Data Integration, Advanced Concepts in Software Engineering
Logistics, Production and Retail (LPR)
Comprises the modules:Supply Chain Management and Logistics, Production Planning and Control, Retail
Schedule Full-time
Duration 2 Years
Presence of students On-campus
Enrollment capacity per term 40
Average number of applications per term 200
Total number of enrolled students 174
Scholarships available No


Background and relations to other courses: The track “Business Intelligence” ideally complemented by electives from marketing and by a seminar, offers a way to start a career in database management and the like. The students are supposed to be familiar with the basic concepts from probability theory and statistics. Main topics and learning objectives: The lecture focusses on multivariate statistical methods in the context of data mining. The main topic is unsupervised learning. Practical exercises using the statistical Software R are integrated into the lecture and a tutorial.
Background and relations to other courses: The track “Business Intelligence” ideally complemented by electives from marketing and by a seminar, offers a way to start a career in database management and the like. The students are supposed to be familiar with the basic concepts from probability theory and statistics. Main topics and learning objectives: The lecture focusses on multivariate statistical methods in the context of data mining. The main topic is supervised learning. Practical exercises using the statistical Software R are integrated into the lecture and a tutorial.
Background and relations to other courses: Business Intelligence (BI) refers to a variety of methods and techniques for the analysis of business data such as data warehousing (DWH), reporting, Online Analytical Processing (OLAP), and data mining. This course addresses the methodical design and implementation of data warehouse systems in support of management’s decision making, particularly via appropriate use of multidimensional schema design, ETL, and OLAP techniques. All relevant concepts are demonstrated from both a theoretical and a practical perspective. In this course, traditional lectures are complemented by student presentations that provide additional content. In addition, exercises and case studies provide ample opportunities to perform the various development phases in realistic and practical settings. Main topics and learning objectives: Students will be able to explain the problems, issues, solutions, techniques, tools, and applications relating to BI and DWH. They will be able not only to design and implement ETL processes and OLAP solutions but also to discuss
This lecture covers the foundations of information security including the specification of protection goals, adversary models, security mechanisms (e.g., identification, access control) and cryptographic primitives to enforce protection goals in distributed systems (e.g., symmetric and asymmetric encryption, integrity protection). Security mechanisms will be discussed both from the perspective of a system operator, who protects a larger distributed system, as well as from the end users’ point of view, who may wish to use security technology to self-protect against untrustworthy system operators.
Networks have become ubiquitous forms of organizing in and between economy, public administration and society at large. On the backdrop of this development this module introduces interorganizational systems and networks in a business context, yet with linkages to public administration (e.g. customs) and social networks. It aims to explore the contingencies and strategies that lie behind the evolution and use of interorganizational information infrastructures and applications (IOS). Further, students will examine the impact of IOS on distributed forms of value generation such as electronic markets and various types of networks. Drawing on case examples as well as theoretical concepts, a life cycle perspective of IOS management will be introduced. The implications of IOS will be discussed from various perspectives such as industry transformation, intermediation, strategic management, organization, information management and IS development. This discussion will be informed by theories addressing networking issues such as institutional economics, collective action or organization theory.
This course blends an introduction to network economics with selected topics in computer networking. It teaches technical and formal economics skills in a unique combination tailored to students of Information Systems. Emphasis is put on simple models lending themselves to rigorous solutions. Participants immerse in the notion that network graphs form the social and economic fabric of an information society, and grasp the emergent properties of design choices in the Internet technology. They learn by many practical examples to appreciate the power of networks as well as ways to control it. Successful graduates are equipped with essential skills that qualify them for assuming responsibility in strategy teams of network industries (including startups), policy-making bodies, or research institutions.
The elective seminars deal with topics that arise from recent research. They are usually organized in small groups of students. Each student gives a seminar talk and, to this end, writes a seminar elaboration. Main seminar-topics may change from term to term. Background and relations to other courses: Usually, the topics deepen the contents of one (or more) of the tracks IM, PM, BN, BI, ISD and LPR. Therefore, knowledge of the contents of pertaining track(s) is strongly recommended. Main topics and learning objectives: To follow recent developments, the topics and, accordingly, the learning objectives are changing from term to term. Examples of earlier topics have been: • Structural Model Analysis • Model Visualisation - Layout and Perception • Network Evolution • Beautiful Data • ERP systems in industry, retail and supply chains • Information Retrieval • Coordination in Supply Chain Management • Theoretical Computer Science
understanding of Business Administration, Management Studies, and business applications of information technology as conveyed in Bachelor Programs in IS and related fields. Main topics and learning objectives: The lecture provides students with a sound understanding of management and management theories as well as with the foundations of the information society. On the basis of this understanding, students are confronted with management challenges prevalent in the information age. While doing this, special emphasis is laid on how information technology affects the capabilities of an organization to compete in the information economy. Teaching is conducted through traditional lectures complemented with case study work and discussions in the classroom. Additional reading material is provided in order to allow students to review parts of the content at their leisure and to extend their knowledge in areas of personal interest.
Background: The course requires a sound understanding of both management studies and information processing in business. This course interlinks with the course “Managing the Information Age Organization”, which deepens the students’ understanding of management basics that this course builds upon. In order to provide students from a non IS-background with the managerial understanding of information processing necessary for participating successfully in this course, an extensive script on this subject is provided at the beginning of the semester. Main topics and learning objectives: The lecture provides students with an overview of executives’ duties in managing an organization’s information and communication capabilities. These duties include tasks such as strategic information planning, strategy implementation, as well as sourcing and organizing the information function. These tasks are structured in a comprehensive framework based on management theory. While identifying critical IM tasks and responsibilities, the course presents methods and techniques that can be applied to deal with them. Class discussions on case studies give students the opportunity to consolidate their newly acquired knowledge and apply the techniques presented to typical problems. In addition, occasional discussions with IT executives allow students to reflect their conceptual knowledge in light of real world practices.
Background: A sound understanding of management and information management as provided in the courses “Managing the Information Age Organization” and “Information Management Tasks & Techniques”. Main topics and learning objectives: This course deepens the students’ understanding of IM tasks and techniques in that it enables them to assess underlying theoretical propositions in more detail. To this end, the lecture introduces important management theories, including market, resource and capability based theories of strategic information systems, IT strategy theory, IT value and productivity theory, organization theory of IT and theories of sourcing and governing the information function. Moreover, on the basis of this theoretical knowledge, critical issues of IM are discussed in the light of the controversial academic discussions surrounding them. The course builds on well-prepared class discussions rather than traditional lectures. The lecturer will support learning by carefully selecting papers and placing them into a broader “theoretical landscape”. He will moderate and facilitate the discussions, and provide feedback on the assignments during the semester (reading papers, preparing presentations, writing minutes).
The course consists of lectures providing the theoretical background of topical software-engineering concepts such as enterprise application integration and model-driven software development. Moreover, it consists of 5 assignments where these concepts are applied to develop and connect example information system.
Background and relations to other courses: Data Integration is a core requirement for diverse information system development tasks, ranging from Web search and mash-ups to data warehousing and business intelligence. In this course, a collection of tools and techniques is presented that can be applied in modern data integration tasks; these range from view construction and query processing in heterogeneous distributed databases to schema mapping and matching, Web services and mash-up APIs. In this course, lectures are complemented by student presentations that provide additional content. In addition, exercises provide ample opportunities to apply the various techniques in realistic and practical settings. Main topics and learning objectives: Students will become able to explain the problems, issues, solutions, techniques, and tools relating to data integration. They will be able not only to locate and present relevant sources and research in the area, but also to apply data integration techniques in practical scenarios. Moreover, they will be familiarized with the current research literature in the field.
The “Production Planning and Control” (PPC) lecture addresses the adaptation of process modeling concepts to the manufacturing sector. Taking an integrated process perspective data structures, information flows and business functions relevant to this domain are presented. The course encompasses processes like material management, capacity management, computer aided design, computer aided manufacturing, and computer aided quality assurance in an integrated manner.

The retail course as part of the production and retail module presents retail as an important sector for the economy. It uses reference models for retail as a framework to introduce retail business process and data structures. To highlight the integration of business processes and information technology, the ERP system selection and implementation process is elaborated. Process and data modeling techniques are applied throughout the lecture and accompanying exercises.

Supply chains focus onto value creation networks of often legally independent companies that are tightly connected via different linkages or flows (e.g. material, information and financial flows). The course “Supply Chain Management (SCM)” elaborates those linkages across companies and specifically addresses issues of supply chain design, planning, coordination and optimization. Collaborative process concepts integrating the different business activities of the companies in the supply chain are investigated in detail. For each lectured topic related IT-Systems are introduced and their application in Supply Chain Management is discussed. Furthermore, the different modes of usage and architectures of Information Systems in Supply Chain Management are examined. Case studies carried out with the help of SCM tools currently used in practice underline the practical aspects of the contents taught.
With his/her master’s thesis, a student is supposed to prove his/her ability to take part in the scientific process by doing a small piece of research and write an appropriate paper on it. The thesis should have a length of approximately 80 pages. The thesis defense contains a presentation of the thesis’ contents as well as a discussion.
This course provides insights into the concepts and methods of Enterprise Architecture Management. The need for architectures in complex organizations as an instrument for transformation is motivated by the challenges enterprises face in today’s business. Architectures support the effective planning and governance of enterprises as a whole consisting of business and IT. Consistently implemented, they facilitate the understanding of business entities’ interrelationships, set them in relation to strategic goals and help define the desired to-be state and the roadmap for its realization. For this purpose, concepts, methods, models and tools are discussed and enriched with insights from practice. The introduction of a specialized modeling language introduces the students to the creation of architectural artifacts. The concrete architecture realization process is underlined by the study of architecture frameworks currently discussed in research and practice.
The lecture is on one of the core topic areas in Information Systems: Conceptual Modeling (i.e., process modeling, data modeling, organizational modeling etc.) with a focus on the use and reuse of conceptual models in business. Hence, the focus is not on how to create a conceptual model, but on what are the preconditions of models to really be usable in practice and on approaches and methodologies supporting model use and reuse, especially model analysis. The lecture therefore provides a theoretical basis for courses applying modeling techniques, such as PM2, PM3, BI1, ISD1, ISD2, ISD3, PR1, PR2, and PR3.
Project seminar
The material and methods learned in previous courses are applied in a practice-oriented project with topics varying from term to term. In particular teamwork, project planning and management, development of a business concept, design of a corresponding software architecture, implementation, and testing will be trained. Moreover, the intermediate and final results of the project will be presented using state-of-theart tools. The participants also have to read relevant literature and describe required concepts in papers. The students are supported in all these activities by tutors. The topics vary from term to term.
Choosing a 6CP Lecture with Exercises in the “Minor” programs of the Master program of Business Administration offered by the department of Business Administration, namely: “Basis Accounting“, “Basis Finance“, “Basis Management” and “Basis Marketing“. In particular, the following Modules can be studied: ACM01 Konzepte und Instrumente des Controlling ACM02 Financial Accounting ACM03 Internationale Unternehmensbesteuerung ACM04 Internationales Controlling ACM07 Unternehmensanalyse und –bewertung ACM08 Unternehmensbesteuerung I ACM09 Ausgewählte Kapitel des Accounting ACM10 Abschlussprüfung ACM11 Spezialfragen der Rechnungslegung nach HGB und IFRS ACM12 Ausgewählte Kapitel des Accounting II ACM13 Anwendungen des Controlling ACM14 IFRS und Controlling ACM16 Vertiefungsmodul Internationale Rechnungslegung ACM17 Unternehmensbesteuerung II FCM01 Introduction to Finance FCM02 Behavioral Finance FCM03 Derivatives I FCM04 Finanzintermeidation I FCM05 Advanced Corporate Finance FCM06 Corporate Governance and Responsible Business Practices FCM07 Derivatives II FCM08 Finanzintermediation II FCM13 Ausgewählte Kapitel Finance I CfM13 Organisation CfM14 Strategisches Management CfM15 Personal CfM16 Management MCM02 Industrial Marketing MCM03 Consumer Marketing MCM04 Media Marketing MCM08 Direct Marketing MCM09 Sales Management MCM10 Electronic Commerce MCM11 Advanced Media Marketing MCM14 Marketing Strategy Preconditions defined for the selected modules have to be obeyed.
An actual or classical topic extending to the “Methods” or to the “Domains” of Information Systems or being located in the border areas of Information Systems and Computer Science/Mathematics/Business Administration. This Module integrates lectures which are offered only once or at irregular intervals, e.g., by guest lecturers or by other lecturers who are members of the institute only for a limited time. Contents of the lecture are announced in the (electronic) university calendar and are usually introduced during the seminar-presentation which takes place in the preceding term.


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