Course types: L = Lecture, T = Tutorial, S = Seminar, AS = Advanced Seminar | SWS = "Semesterwochenstunden" = Contact hours
This Course Catalogue is not final and will continue to be updated in the lead-up to the new semester.
A/I & A/II Courses
- Type: A/I
- Description: The course Basic Readings in Management deals with an in-depth examination of different approaches in social and economic sciences. Participants work on individual theoretical approaches that are being discussed throughout the course.
- Dates:
- 14.10.26 (10-12)
- 02.12.26 (14-18)
- 03.12.26 (14-18)
- Course Pages: LSF
- Type: A/I
- Description: This course is meant to serve as a rigorous introduction to experimental methods. Its focus is on the current state of the literature in experimental research in marketing, psychology, and management and on the methodology of behavioral experiments. Alongside understanding epistemological foundations, participants will learn about the interplay of theory and empirical research to craft convincing empirical packages for research papers aiming to make theoretical contributions. In a nutshell, the objectives of the course are to develop among participating students an interest in experimental research in marketing, psychology, and management; to acquaint them with some broad fields of research where experiments have been used extensively; and, finally, to equip them with the skills that are necessary in order to understand the relevant literature in depth and be able to conduct experiments on their own in the future. Besides methods from experimental psychology, the course also covers the methodology of economic experiments.
- Dates:
- 12.10.26 (15-20)
- 19.10.26 (10-15)
- 20.10.26 (09-14)
- 03.11.26 (15-20)
- 18.01.26 (09-18)
- 19.01.26 (09-14)
- Course Pages: Experimental Methods
- Type: A/I
- Description: The course serves to make students familiar with basic statistical methodologies and econometric methods that are nowadays applied throughout all research areas in business administration and economics. It follows a “hands-on” principle throughout, i.e. all statistical methods will be illustrated and trained by practical applications using econometric packages, primarily MATLAB.
- Dates:
- 17.12.26 (10-18)
- 18.12.26 (10-18)
- 14.01.27 (10-18)
- Course Pages: Institute
- Type: A/I
- Description: The course will provide PhD students with a comprehensive understanding of contemporary causal inference techniques. Focusing on the analysis of experimental and quasi-experimental methods such as Randomized Control Trials, Instrumental Variable Regression, Difference-in-Differences and Regression Discontinuity Designs. The course will emphasize both theoretical foundations and practical applications. It aims to enhance students' ability to conduct robust causal analysis in their research.
- Requirements: Students must have participated in the course Quantitative Methods before participating in QMCI.
- Dates:
- 07.01.27 (10-15)
- 08.01.27 (10-15)
- 11.01.27 (10-15)
- 12.01.27 (10-15)
- 04.02.27 (14-16)
- Course Pages: Syllabus (PDF, 228 KB)
- Type: A/I
- Description: In this course, students are introduced to the "publication game". The course deals with thoughts about how to generate research ideas and how to plan a research project, how to position a paper and how to manage the R&R process. The pros and cons of different publication strategies are discussed. Students will also learn on which criteria editors and reviewers base their decisions about a submission. Therefore, the course helps students to understand and to manage the publication process. Emerging developments, trends, and issues in conducting and publishing academic research will be discussed.
- Dates:
- 27.10.26 (9-11)
- 09.11.26 (13-17)
- 10.11.26 (9-13)
- 09.12.26 (9-12)
- 10.12.26 (9-12)
- Course Page: LSF
- Type: A/I
- Description: The course provides an overview of the purpose, type, and benefits of third-party funding in science. The course explains the opportunities and requirements of different types of third-party funding and how a successful application for third-party funding is made. The focus here is particularly on third-party funding applications to the German Research Foundation (DFG).
- Dates:
- 19.10.26 (15-18)
- 07.12.26 (15-18)
- 08.02.27 (15-18)
- Course Pages: Institute
- Type: A/II
- Description: During the course of Presentations & Reports, students will deepen and broaden their understanding of academic topics of interest by attending relevant seminars, and gain greater knowledge of the academic process of peer review, including by writing a review themselves.
- Dates:
- Kick-Off: 20.10.26 (15-17)
- Course Pages: Syllabus
- Type: A/II
- Description: The course provides an introduction to the core concepts and practices of open science alongside an overview of the developments that fostered the open science movement and its current directions. The course specifically focuses on open science practices that are useful in business research. These include preregistration and registered reports as well as the preparation of replication packages that contain open materials, open data, and open code. In addition, further practices such as preprints and open peer review are discussed.
In this course, students are familiarized with the objectives and concepts of open science, learn to navigate open science practices, and discuss how to apply them to their own research projects. - Remark: This course is mandatory for all new MBR students starting in Winter Semester 25/26. Remaining spots will be distributed to MBR students who started before Winter Semester 25/26 with their MBR and applied for the course. Further details can be found in the FAQ section.
- Dates:
- 22.10.26 (9-15)
- 29.10.26 (9-15)
- 05.11.26 (9-15)
- Course Pages: LSF
B/I Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Accounting & Finance | ||||
| Empirical Research in Tax Accounting | Gerdes, Huber | 02.11.26 (8-18), 04.11.26 (8-18), 18.12.26 (9-16) | S | 4 |
| Investment Banking | Elsas-Nicolle | 21.10.26 (9-14), 28.10.26 (9-14), 25.11.26 (9-15), 16.12.26 (9-15) | S | 4 |
| Empirical Research in Accounting, Auditing and Capital Markets | Sellhorn | Lecture: Mondays, 15-18 (12.10.26 - 18.01.27), Tutorial: 16-20 (22.10.26, 29.10.26, 05.11.26, 27.11.26) | L+T | 4 |
| Behavioral Decision Making | Maier | Thursdays, 12-16 (15.10.26 - 04.02.27) | S | 4 |
| Readings in Finance and Insurance (PDF, 203 KB) | Jaspersen | Mondays, 14-16 (12.10.26, 19.10.26, 26.10.26, 09.11.26, 16.11.26, 30.11.26, 07.12.26, 14.12.26) | S | 2 |
| Marketing & Strategy, Information System, Innovation and Leadership & Learning | ||||
| Research Methods in Information Systems | Hess, Wurm | 05.10.26 - 07.10.26 (9-17) | S | 2 |
| Digital Markets | Spann | Mondays, 12-14 (12.10.26 - 18.01.27), 25.01.27 (12-16) | L+T | 4 |
| Advanced Topics in Research on Digital Business | Hess | Three wednesdays during the semester (12-13), details tba | S | 2 |
| Empirics of Organizations | tba | 21.10.26 (9-12), 19.01.27 (9-17) | S | 4 |
| Alternative Formats of Publications | Gümüşay | 05.11.26 (9-17), 17.12.26 (9-17), 28.01.27 (9-14) | S | 4 |
B/II Courses
| Course | Lecturer(s) | Dates | Type | SWS |
|---|---|---|---|---|
| Prep-course on data science with DataCamp | tba | Kick-off: 21.10.26 (11-11:30) | S | 4 |
| Text as Data (PDF, 670 KB)(formerly Automated Textual Analyses) Course Registration until November 30, 2026. | Schütt | 14.12.26 - 16.12.26 (9-18) | S | 2 |
| Advanced Topics in Derivatives | Elsas-Nicolle | 12.10.26 - 15.10.26 (14-18), 19.10.26 - 22.10.26 (14-18) | S | 4 |