Decision Sciences & Systems
Technical University of Munich

If you are interested in a particular topic listed here for a Bachelor or Master thesis, please contact the corresponding person from the list below. If you are interested in writing a thesis on another (non-listed) topic within the scope of our group or you want to participate in guided research or an interdisciplinary project, write an email to Felipe Maldonado. Please state your skills and interests and also attach a current CV and a recent grade report. First contact should be established at least one month before registration of the project in order to allow for sufficient time to settle for a suitable topic.


Optimization and Market Design
(BSc or MSc thesis)
various topics

Prof. Martin Bichler

Computational Social Choice and Algorithmic Game Theory various topics (having passed "Computational Social Choice", "Algorithmic Game Theory", "Markets, Algorithms, Incentives, and Networks" or "Economics & Computation" is required)

Prof. Felix Brandt

Simulations and analysis in shared-economy markets

The sharing economy depends on the development of the sharing platform. Different platforms (e.g., ride-hailing, freight exchange, kidney exchange, resource allocation, ... ) have different characteristics. We are committed to abstracting mathematical models from reality to simulate, analyze and provide theory. Research issues include but are not limited to matching strategies, pricing issues, and online prediction.

Required: advanced programming skills (e.g., Python, Matlab, at least one), mathematics, operation research.

Donghao Zhu


Electricity Market Design, Optimization


Electricity Market Design: Electricity market design is dynamic in its nature and has recently been exposed to fundamental changes due to the integration of renewable energy resources. We examine sustainable market designs and the underlying allocation and pricing problems as part of the Kopernikus SynErgie project

Pricing in non-convex markets: Although nonconvex markets (such as electricity markets) are widespread, finding appropriate prices is not trivial. We study different pricing approaches and associated properties.

Requirements: programming skills, operations research

 Johannes Knörr
Interactive Data Visualization in the context of Machine Learning in Auctions

In a current research project at the DSS chair, we are dealing with high-dimensional data about optimal bidding behavior that can be hard to interpret in its current form. In this thesis project, you will explore the foundations and best practices of data visualization and design solutions to several challenging viz problems in our current research context. Finally, you will develop a small web-app (based on existing dashboard frameworks like Rshiny or dash) to interactively explore these.

This topic is best-suited for a BSc thesis in Informatics or Information Systems, but applications from other degree programs or different types of student projects will also be considered.

Requirements: programming experience, basic (descriptive) statistics and probability theory, strong interest in data analysis and visualization.
Desired: experience with one or more data viz and/or dashboard frameworks, e.g. ggplot2 + shiny (R), matplotlib + dash (python), or d3 + react (javascript).

Previous exposure to auction theory or machine learning is not required for this project, but you would be expected to read up on some of the basics.

Stefan Heidekrüger

Templates and Information for Creating Theses:

Thesis Template (latex)

Slides Template (ppt & latex)

General Information for Theses


Decision Sciences & Systems (DSS), Department of Informatics (I18), Technische Universität München, Boltzmannstr. 3, 85748 Garching, Germany
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