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Department of Business Information Systems

Paderborn, NRW, Germany
Information Systems

Summary

Overview

The value added of the department of business information systems at the Paderborn University is that it calls for an interdisciplinary approach, where diverse teams research new ways to translate rapidly changing information and communication technologies into business applications. These help private and public sector enterprises to optimize their business processes with respect to costs, turnover, time to market and quality. The focus is on people as users, since innovative applications ease their workload, enhance their potential, and boost their productivity and the quality of their work. Since its establishment in 1990, the department has been devoted to meeting these challenges – and its efforts have paid off. In recent CHE Rankings the department, with its seven professors including four chairs, repeatedly placed near the very top.

Research

Research activities at the department center on the design, development and application of information and communication systems. Emphasis is also laid on the analysis and evaluation of business information mechanisms in a socioeconomic context. The result is a predominantly solution-centered approach towards developing successful business applications. Most of our research projects are inspired by our network of partnerships with industry. Ideally, the results of our research enable our partners to generate innovative products and services. This practical focus notwithstanding, basic academic research is a strong and indispensable element of the Department’s work. Accordingly, our activities are integrated in various project networks, some publicly funded, some designed as public private partnerships. Our research is conducted in a variety of contexts: DFG grants (e.g., Priority Programmes, Collaborative Research Centres, Individual Research Grants), the International Graduate School, interdisciplinary cooperation projects, and European research projects. Our private sector partners include BMW, Benteler, Bertelsmann, Continental Teves, Daimler, Deutsche Bank, Hella, IBM, Lufthansa, Miele, E.ON Ruhrgas, SAP, Siemens and Volkswagen. Our high volume of external funding reflects these commitments. The department is proud to have received a number of awards and commendations, including start-up business awards, research prizes, innovation awards, and awards for the achievements of our undergraduate and postgraduate students.

Degree programs and careers

Business information systems degree programs aim to produce qualified and knowledgeable experts with a strong interdisciplinary awareness who are able to view modern information and communication technologies from a business angle. This is achieved by a curriculum that imparts a thorough grounding in business information systems, business administration and economics, and computer science. Our Bachelor and Master programs take a scientific approach, yet also emphasize current e-business developments and applications. In other words, students gain a strong theoretical and practical grounding thanks to an efficiently structured schedule that also involves project work. They are familiarized with the tools and systems currently used in industry, so that towards the end of the programs they have mastered both scientific methodologies and their practical implementation. Our programs encourage students to work on their own initiative, take responsibility for their own work, be creative and develop communication skills. Researchers and Ph.D. candidates of the department are expected to work on their own projects independently. Once our Ph.D. candidates graduate, they join the backbone of the international network of knowledge and cooperation that drives Business Information Systems at the Paderborn University. The department has produced a large number of spin-offs.

Bachelor Programs

The combination of academic and occupational education enables graduates to work in development related job roles, application related job roles as well as intermediaries between the two in the area of information systems, such as:

  • Information manager
  • Systems analyst
  • IT ORG
  • Software developer
  • Database specialist
  • Strategic and IT Consulting

Master Programs

The M.Sc. program in Business Computing at the Paderborn University covers topics in Information Systems, Computer Science, Business Administration and Economics. The program is scientific and at the same time focused on applying Information Technology in real-life business settings. It is attractive for all students who look for a distinguished and unique focus within their studies.

There are several reasons for enrolling in the M.Sc. program in Information Systems at Paderborn University, including

  • Graduates in Business Computing are in great demand in industry and science.
  • According to current and independent rankings the Business Computing program at Paderborn University is one of the best in Germany, especially its practical relevance is highly praised.
  • Paderborn is the city with the most IT companies per citizens and the highest number of start-up companies in Germany.
  •  Paderborn is a young and dynamic city. The cityscape is characterized by the university and its students.

Furthermore, the graduation enables students to enroll in a Ph.D. program.

The goal of the master's program Management Information System (MIS) with the degree Master of Science (M.Sc.) is the training and qualification of interdisciplinary professionals, who understand the capabilities of information and communication systems in business and administration and are able to use latest technologies to achieve business objectives and to design the necessary change management in organizations. This is achieved by a mix of skills from business information systems and economics. A wide range of specializations in the subject of Management Information Systems is offered to students: Business information systems, information management and E-finance, innovative production and logistics as well as decision support systems and operations research. The master program MIS is open to all students with a relevant bachelor's degree in business information systems, or in economics with corresponding deepening in business information systems.

The master's degree MIS is distinguished by its strong scientific orientation with a high practical relevance, specific thematic priorities as well as high flexibility of the study design. The courses provide concepts and methods, which are relevant to prevailing trends. Moreover, the methods are illustrated by means of current products and systems.
Thereby, the students are able to apply these concepts and methods to applications of business information systems. After finishing the master’s degree, students can work in various professional fields, for instance, as information managers, project managers, IT-controller, system analysts, IT-organizers or process organizers. Increasingly, they are sought-after in functional areas such as marketing, production or materials management. Another important focus of potential occupational activity is management consultancy within the field of strategic IT-decisions.

Courses

Bachelor of Science Business Information Systems

Lecture

The topics of this lecture are central aspects of Data Mining, like intelligent data analysis, the data mining process and supervised learning (especially regression- and classification-problems) . On the part of algorithms selected models will be closely discussed, like linear and logical regression, decision trees, support-vector-machines or simple variants of ensemble-models.

 433
Lecture

A project is a complex one-time endeavor geared to solve a unique and complex organizational and/or technical problem. Projects need to be managed in a structured and efficient way to reach the defined objectives within the constraints of time, quality, cost, scope, and risk. Project management is an essential task in most organizations, including methods and information systems that support the successful management of a project along its entire lifecycle.

 251

Master of Science Business Computing

Lecture

Metaheuristics are widely used in industry and academia to solve large optimization problems that are too difficult to solve using optimal approaches like mixed-integer programming or dynamic programming. This course will will investigate well-known methods like genetic algorithms, ant colony optimization, variable neighborhood search, large neighborhood search, simulated annealing and tabu search, as well as lesser known approaches such as adaptive decompositions and hybrid approaches. Furthermore, the course will show how to effectively and efficiently model optimization problems within metaheuristic frameworks, paying special attention to details like initial solution construction, neighborhood design, incremental objective evaluation, and overall software system considerations. 

This course will combine student presentations on metaheuristic topics from the literature with paper presentations and a project in order to provide competence in both the breadth of metaheuristic research, as well as practical knowledge about the implementation of metaheuristics on real problems.

 368
Lecture

The module teaches advanced methods, techniques and applications of operations research, in particular in the field of linear continuous and integer programming. In the practical part students acquire skills for modeling and analysis of complex decision-making situations. Moreover, students learn how to select appropriate solution methods, create software for analyses, and identify solutions of the developed models.

 365
Lecture

This module teaches advanced methods, techniques and applications of operations research. The course focuses on the modeling of real-world routing and network problems using both mathematical programming and constraint programming approaches. Metaheuristics are also introduced as a way of solving large scale industrial problems. The course contains a practical component in which students analyze, model and solve complex decision problems by developing their own solution approaches using state-of-the-art techniques.

 345
Lecture

Based on the content of the undergraduate course Data Mining, this course focuses on the prediction of complex structures such as ordered lists (lists of recommendations, results, ...) and time series. Among other topics, support vector machines as well as factorization machines are discussed. Other important aspects of this lecture are the concepts and the effects of stochastic learning processes and regularization strategies.

 451

Master of Science Management Information Systems

Lecture

Metaheuristics are widely used in industry and academia to solve large optimization problems that are too difficult to solve using optimal approaches like mixed-integer programming or dynamic programming. This course will will investigate well-known methods like genetic algorithms, ant colony optimization, variable neighborhood search, large neighborhood search, simulated annealing and tabu search, as well as lesser known approaches such as adaptive decompositions and hybrid approaches. Furthermore, the course will show how to effectively and efficiently model optimization problems within metaheuristic frameworks, paying special attention to details like initial solution construction, neighborhood design, incremental objective evaluation, and overall software system considerations. 

This course will combine student presentations on metaheuristic topics from the literature with paper presentations and a project in order to provide competence in both the breadth of metaheuristic research, as well as practical knowledge about the implementation of metaheuristics on real problems.

 368
Lecture

The module teaches advanced methods, techniques and applications of operations research, in particular in the field of linear continuous and integer programming. In the practical part students acquire skills for modeling and analysis of complex decision-making situations. Moreover, students learn how to select appropriate solution methods, create software for analyses, and identify solutions of the developed models.

 365
Lecture

This module teaches advanced methods, techniques and applications of operations research. The course focuses on the modeling of real-world routing and network problems using both mathematical programming and constraint programming approaches. Metaheuristics are also introduced as a way of solving large scale industrial problems. The course contains a practical component in which students analyze, model and solve complex decision problems by developing their own solution approaches using state-of-the-art techniques.

 345

People

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People

Daniel Beverungen is a Professor for Information Systems at the University of Paderborn, Germany. His main research interests comprise service science management and engineering, business process management, information modelling, and the socio-technical design of information systems. His work has been published in peer-reviewed academic journals (including IEEE Transactions on Engineering Management, Business & Information Systems Engineering and Government Information Quarterly) and presented at all major Information Systems conferences. In addition, Daniel was involved in developing various industry standards. He is a member of the editorial board for the journal Business & Information Systems Engineering, a guest editor for the Information Systems Journal and for Information Systems and E-Business Management, and has been serving as a chair, associate editor, and reviewer for various academic conferences and journals. Daniel is the president-elect of the Special Interest Group on Services (SIGSVC) in the Association for Information Systems (AIS), representing some 200 researchers from all three regions of the AIS.

 459

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Editors

Have you met...
People

Daniel Beverungen is a Professor for Information Systems at the University of Paderborn, Germany. His main research interests comprise service science management and engineering, business process management, information modelling, and the socio-technical design of information systems. His work has been published in peer-reviewed academic journals (including IEEE Transactions on Engineering Management, Business & Information Systems Engineering and Government Information Quarterly) and presented at all major Information Systems conferences. In addition, Daniel was involved in developing various industry standards. He is a member of the editorial board for the journal Business & Information Systems Engineering, a guest editor for the Information Systems Journal and for Information Systems and E-Business Management, and has been serving as a chair, associate editor, and reviewer for various academic conferences and journals. Daniel is the president-elect of the Special Interest Group on Services (SIGSVC) in the Association for Information Systems (AIS), representing some 200 researchers from all three regions of the AIS.

 459
 
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