Institut für Electronic Commerce und Digitale Märkte




Empirical Seminar "Data Analytics" (Master)

Course overview

This course offers an introduction to data analytics. Data analytics is crucial in helping firms to solve today’s business challenges. Participants of this seminar will be exposed to tools and methods that support data-driven decision making. Besides developing participants’ skills in empirical data analysis, this course prepares students for writing an empirical Master’s thesis.

While many students have theoretical knowledge of econometric concepts, they often lack experience in applying those concepts to empirical problems before commencing their Master’s thesis. This seminar is intended to step into this gap. Each student (or student team) will be assigned a recent research paper in the field of electronic commerce, which was published in an international journal. Students will replicate the main empirical results of the respective paper and (if possible) provide and discuss additional analyses beyond the findings of the original paper.

The seminar takes an applied econometrics approach with a focus on valuable econometric methods for (causal) inference in economics and marketing. The seminar’s emphasis is on applications and interpretation of results. The seminar involves participation in two econometrics workshops, writing a seminar paper based on the replication project, and a final presentation of the results.

The aim of the seminar is to develop students’ skills in empirical data analysis. Particularly, this involves the improvement of their data-analytic thinking as well as training and hands-on experience in applying a statistical software.

Who should apply?

  • Students who want to receive credits for the module „Innovation” or “Innovation & Digital Business”
  • Students who plan to write an empirical Master’s thesis (at the ECM).
  • Students who want to apply econometric methods using STATA, a statistical software often used by economists

Students of which specializations are allowed to participate in the seminar?

  • Master of Science in Business Administration
  • Master of Science in Media, Management, and Digital Technologies (MMT)
  • Master of Science in Media Informatics

Application procedure

Please send us your current CV, a transcript of records (full LSF transcript including ALL courses – failed and passed), and a short statement why you want to participate in this seminar. Please send your application to

Deadline for applications is March 17, 2019.

Please note: Participation in the kick-off session means your registration is binding. For further information see also the examination board’s regulations:

Example topics

The following papers are mere examples and not the basis for the seminar projects. We encourage you to take a look at the papers and the available supplementary materials to familiarize yourself with the task.

Credits and grades

  • Course credit: 6 ECTS
  • Examination: Seminar paper and presentation. Both examination parts account for 50% of the total seminar grade


Prof. Dr. Martin Spann
Dr. Lucas Stich

We provide additional support through further teaching assistants.


Date and TimePlaceActivity
March 17, 12 noon Deadline for applications
April 24, 9 am – 10 am Ludwigstraße 28, front building, room 211b Kick-off session
April 24, 10 am – 2 pm            Ludwigstraße 28, front building, room 207 (“IuK-Pool”) Workshop “Introduction to Data Analytics” part 1/2
April 26, 12 noon Deadline for submission of topic preferences
April 29, 9 am – 1 pm Ludwigstraße 28, front building, room 207 (“IuK-Pool”) Workshop “Introduction to Data Analytics” part 2/2
April 29 Announcement of topic assignments
June 28, 12 noon Ludwigstr. 28, front building, secretariat, room 204 Deadline for seminar paper submission
July 12, from 9am Ludwigstraße 28, front building, room 211 Final presentations

Last updated June 26, 2019