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Department of Computer Science
Enterprise Computing

Anwendungsfach Enterprise Computing

Enterprise computing in the broadest sense refers to the use of information technology of any kind in business. While in the past, the focus was primarily on the introduction and operation of mainframes and servers, today the focus is increasingly on the organizational embedding and use of very different IT systems such as customer relation management systems or decision support systems. Hence, we speak of socio-technical information systems or human-task-technology systems.

Similarly, the Association for Computing Machinery (ACM) classifies "enterprise computing" as a sub-discipline of "applied computing" with sub-topics such as

Enterprise Computing Students © Christian Janiesch​​/​​Midjourney
  • Business/IT Alignment & IT Governance
  • Business Process Management (BPM) & Business Rules
  • Enterprise Architecture & Enterprise Ontologies
  • Enterprise Modeling & Reference Modeling
  • Enterprise Resource Planning (ERP) Systems & Interoperability
  • IT Architectures, Service-oriented Architectures (SOA), & Event-driven Architecture (EDA)

The focus of the education at the Department of Computer Science is on business process management and the application of IT systems in business, for example with ERP systems.

Transitional Arrangements

The Anwendungsfach Enterprise Computing (EC) replaces the Anwendungsfach Dienstleistungsinformatik (DLI). For transitional arrangements, please contact the study coordinator of the Department of Computer Science.

You will find further informationen on the department website.


Mandatory Modules

An introduction to business informatics as an independent discipline that explains and designs scientifically based socio-technical systems comprising human and machine components (subsystems) in business and society.

Module INF-BSc-AF-EC-108 (mostly identical with INF-BSc-308), Prof. Dr. Christian Janiesch

(currently in the SS, moves to the WS in WS24/25)

Economic, organizational and technical fundamentals of business process management based on the process life cycle: process identification, business process modeling, process survey, process analysis, process improvement, process technology and process monitoring.

Module INF-BSc-AF-EC-124 (identical with INF-BSc-324), Prof. Dr. Christian Janiesch

(currently in the WS, moves to the SS in SS24)

Concepts and techniques for analysis, design, modeling, and implementation of process-oriented software systems.

Module INF-BSc-AF-EC-125 (identical with INF-BSc-325), Prof. Dr. Jakob Rehof

8 credits from the following elective catalog:


Mandatory courses

Basics of IT management consisting of strategic and operational IT management and provides an introduction to topics such as IT strategy, business-IT alignment, IT governance, IT service management, enterprise architecture management, IT outsourcing, IT project management, and IT maturity management.

Module INF-MSc-AF-DLI-102, Prof. Dr. Christian Janiesch

6 credits from all modules of the specialization area not yet taken as described in the module handbook.

Special aspects of enterprise computing can be found in particular in the following irregularly offered lecture. The respective contents of the lecture will be announced in time via the annotated course catalog.

As well as the following modules offered as part of the Research Alliance Ruhr:

  • Module INF-MSc-AF-EC-80x: Service Engineering, Prof. Dr. Jens Pöpelbuss (Ruhr-Universität Bochum)
  • Module INF-MSc-AF-EC-80x: Business & IT Consulting, N.N. (Universität Duisburg-Essen)
  • Module INF-MSc-AF-EC-80x: Enterprise Modelling 2, Prof. Dr. Ulrich Frank (Universität Duisburg-Essen)
  • Module INF-MSc-AF-EC-80x: Management of Large Enterprise Systems, Prof. Dr. Reinhard Schütte (Universität Duisburg-Essen)
  • Module INF-MSc-AF-EC-80x: Web Engineering, Prof. Dr. Stefan Eiker (Universität Duisburg-Essen)

In the seminar, new literature relevant to research will be read and prepared to familiarize students with current current approaches in research in enterprise computing and to prepare them for their final thesis. Topics from past semesters have addressed the following topics:

  • AI in Management
  • Business Process Management & Process Mining

Introductory literature is usually provided and subsequently searched for by the seminar participants themselves. The contents are prepared and presented in an elaboration and independent presentation.

Module INF-MSc-AF-EC-101, Prof. Dr. Christian Janiesch

15 credit points from the following elective catalog of the Department of Business and Economics: