Bachelor Thesis

Requirements for students who want to write a thesis

Students have to make sure that they are eligible for writing a thesis at an IS chair. We currently do not have specific additional formal requirements. Depending on the topic, however, applicants should be interested in quantitative analyses, as most of our research projects (and consequently, many topics advertised) involve data analytics.

Application Process

Students can apply for theses for the respective semester until the last Sunday prior to the start of the lecture period.

Semester Application deadline
SS22 24 April 2022
WS22 16 October 2022
SS23 16 April 2023

There is no specific application period, however, the deadline applies for the respective semester and applications submitted after the deadline won’t be considered for the running semester. Students are encouraged to reach out early and discuss potential topics upfront.

In the first week of the lecture period, applications are screened and, if necessary, interviews are scheduled. At the end of the week, students will be notified.


If you want to write your Bachelor thesis with the Bits to Energy Lab, please use our application form and send us your CV, current transcript of record, and the name of the topic you are interested in. In case you have your own research idea, please also provide a short, but meaningful description of the topic. Applications should be sent to the respective supervisor via e-mail.

Seminar for Bachelor’s thesis

A seminar is offered for all students writing a thesis with our group. The format of the seminar depends on the number of students, however. The deliverables of the seminar (i.e., a research proposal and a presentation) are not graded, but evaluated on a pass/fail basis.

Open Topics


Topic Supervisor

Digital Nudging – Literature review

Nudging refers to interventions by public or private agents aimed at steering peoples’ decisions in a particular direction, while still perpetuating the freedom to make individual decisions. Next to an increased prevalence of nudges in our analog world, the term ‘digital nudging’ evolved recently. It refers to “the use of user-interface design elements to guide people’s behavior in digital choice environments” (Weinmann, Schneider & vom Brocke, 2016, p. 1). In the recent past, digital nudges have been awarded great scholarly attention and various studies regarding their effects have been carried out. This thesis aims at conducting an extensive literature review to summarize digital nudging approaches, compare their effects to analogous ones and find possible reasons for differential effects. Potential focus domains include, but are not limited to, healthy or sustainable consumer decisions.
Leonard Michels

The Elaboration Likelihood Model of Persuasion in Information Systems Research

The elaboration likelihood model of persuasion (ELM) structures how persuasive messages are processed by individuals and affect their attitudes and behavior (Petty and Cacioppo 1986b). In essence, the ELM assumes that there are two routes of persuasion and information processing: a central and a peripheral route. According to the model, the extent to which individuals rely on either of the two routes depends on their elaboration likelihood, which refers to ”the extent to which a person scrutinizes the issue­relevant arguments contained in the persuasive communication” (Petty and Cacioppo 1986b). Because of its versatility and broad scope, the ELM  has been used in various disciplines, including information systems research. The goal of this thesis is to provide an overview of information systems research in which the ELM has been applied.
Leonard Michels

Exploratory Spatial Analysis of Mobility Data

This bachelor thesis aims to analyse mobility data – GPS timestamps of cars across 2 years and answer questions about the availability of typical personal (electric) vehicles for participation in local energy management systems. The student is expected to create a summary of the mobility dataset on various aspects – location, road type, trip distances, dwell time of the vehicle – and compare against reference mobility surveys (for e.g., Deutsches Mobilitätspanel, MOP). An analysis comparing the emissions and costs of switching to electric cars, as compared to conventional cars is also interesting. The results aim to validate existing dataset within the group with national level surveys, and explore interesting details within the dataset.Tasks:
  • Literature review on national mobility profiles – Italy, Germany
  • Exploratory data analytics

Requirements :

  • Programming skills (Preferably Python; R/C++)
  • Interest in data analytics, mobility behaviour, electric vehicles
  • Interest in Geographical Information Systems (GIS)
Prakhar Mehta