Theses
Here you will find advertised, ongoing and completed theses. If you are interested in writing your thesis with one of our partners, please send us the documents listed below to teaching@flow-factory.ai. We are also happy to receive proactive applications with your own topic ideas.
- Curriculum vitae
- Current grade overview
- Short letter of motivation
Would you like to submit a thesis topic as a partner? Note: You need the password you received from us.
Available Thesis Topics
Bachelor's Theses
Scaling Mechanisms and Digital Product Design in Startups
Type: Academic-research oriented (without company co-supervision):
Your Research Focus:
We are seeking a bachelor student to conduct a literature review that will support this international research collaboration between the University of Münster (Chair for Wirtschaftsinformatik, Prof. Dr. Jan vom Brocke), Hasso-Plattner Institute, and the Massachusetts Institute of Technology. The thesis will examine:
• How startups design digital products to enable rapid scaling
• The role of digital infrastructures (APIs, data platforms, modular systems) in scaling product usage
• The influence of affordances and UX design on user acquisition, retention, andgrowth loops
• How different scaling mechanisms are conceptualized in IS literature
Who should apply?
• You study Information Systems, Business or Computer Science
• Have a keen interest in digital startups, platforms, or product design
• Bring previous experience in tech startups or product management (optional but a strong plus)
Project Format
• Type: Structured literature review
• Start Date: October 01.10.2025 (3 months)
• Language: English
Parter Institution: No cooperation
Academic supervisor: Thomas Haskamp
Master's Theses
Leveraging AI for Open Finance Use Cases for Financial Services Organizations
Type: Academic-research oriented (without company co-supervision):
The thesis addresses the automated use of open finance data for the data-based, AI-supported extension of existing advisory processes. The focus is on the integration of new data sources (e.g. PSD2, FIDA) into operational business operations with noticeable efficiency gains. The thesis is thus directly aimed at optimising and redesigning business processes through AI, in the sense of future-proof, scalable existing customer advice.
Parter Institution: Deutscher Sparkassen Verlag GmbH
Responsible contact person of the partner institution: Erik Winkler
Academic supervisor: Noch nicht festgelegt
Ongoing Theses
Bachelor's Theses
Preparing Process Mining: A Case Study
Type: Academic-research oriented (without company co-supervision):
Case Study to collect data inside an organization and triangulate with process mining insights.
Parter Institution: No cooperation
Academic supervisor: Tobias Zimmermann
Evaluating the Process Mining Maturity of an Organization
Type: Academic-research oriented (without company co-supervision):
Interview study to evaluate the current state of process mining maturity based on the process mining maturity model in context of the Sparkassen Finanzgruppe / Finanzinformatik.
Parter Institution: No cooperation
Academic supervisor: Tobias Zimmermann & Julian Dyong
Master's Theses
Automating the Loan Approval Process
Type: Practice-oriented with a company:
Design Science Research study to develop an artifact to automate the loan approval process of LBS.
Parter Institution: LBS Landesbausparkasse Nordwest
Responsible contact person of the partner institution: -
Academic supervisor: Tobias Zimmermann
