Welcome to the website of the Chair of Information Systems and Data Analytics! Our research and teaching focuses on how human decision-making processes can be improved through the responsible use of data and algorithms.
Research
The aim of our research is to improve human decision-making processes through the responsible use of data and algorithms. We pursue a socio-technical approach that incorporates the latest technologies (in particular machine learning and artificial intelligence) as well as social and societal aspects.
The following topics are the focus of our research:
- Development and evaluation of AI-based methods and systems to support and automate decisions
- Acceptance/Adoption and economic value of artificial intelligence
Our research is application-orientated and takes place in interdisciplinary teams. Applications can be found, for example, in the fields of energy, logistics/transport, finance, culture, and sport.
Teaching
We offer lectures and seminars at the Bachelor's, Master's, and Doctoral levels.
Bachelor
| Module name | Module type | Semester | ECTS | Language |
|---|---|---|---|---|
| Fundamentals of management information systems | Lecture | summer semester | 5 | DEU |
| Methods of Data Science (Film) | Lecture | winter semester | 5 | DEU |
| Predictive Analytics | Student research project | summer /winter semester | 5 | DEU/ENG |
Master
| Module name | Module type | Semester | ECTS | Language |
|---|---|---|---|---|
| Data Science for Business | Lecture | winter semester | 5 | ENG/DEU |
| Applied Machine Learning for Text Analysis | Seminar | winter semester | 10 | ENG/DEU |
| Real-World Machine Learning Projects | Seminar | summer semester | 10 | ENG/DEU |
Doctorate
| Module name | Module type | Semester | ECTS | Language |
|---|---|---|---|---|
| Machine Learning for Research | Seminar | summer semester (irregular) | 6 | ENG |
Application
The Department of Information Systems does not participate in the centralized allocation procedure of the Faculty of Business Administration and Economics. Consequently, the application process varies for each chair.
Our application deadlines are as follows:
- Winter semester: January 1 - February 28 (29)
- Summer semester: July 1 - August 31
To apply, please submit the following:
- Curriculum vitae
- Current transcript of records
- Letter of application
Your letter should express your interest in "Data Analytics" topics and include suggested themes for your thesis. Please email your complete application to the chair.
We emphasize the importance of a strong interest in a topic as a key to success. Rather than publishing pre-defined topics, we encourage students to bring their own interests and define their thesis topics in consultation with a chair member.
Occasionally, we offer theses with practice partners, where topics are usually predefined. If applicable, you will find these under the relevant heading.
Preparation (template)
Please use this LaTeX template as a guide when designing your thesis !
Team
Meet the brilliant minds driving research and teaching at the Data Analytics Group. Our team is an interdisciplinary blend of experts, each passionate about data-driven decision making in domains ranging from energy over finance to sports.
Find out more about our team here!
Join our team!
Become part of our team, either as a student assistant or research assistant with a Bachelor's degree or as a research assistant after completing your Master's degree.
Contact
Wirtschaftsinformatik, insb. Data Analytics
Warburger Str. 100
33098 Paderborn