The Biostatistics group offers theses to students motivated for research in state-of-the-art data science and advanced statistical modeling methods for the analysis of biomedical and life science data.

Formal requirements

In order to be eligible for a thesis we require students to

  • have shown proficiency in statistical methods, e.g. by passing related courses
  • provide and formulate an advanced topic and research question (see below)

Students interested in writing a thesis with Prof. Ankerst should email their TUM grade transcripts and a short letter of motivation to ankerst(at) The student may be asked to write a proposal about their research idea (see below).


Biostatistics provide a multitude of possible topics. We offer students the possibility to design and formulate their own research idea, however, it has to be related to the life sciences. The basis for a data science project is a suitable dataset. Exemplary sources are:

Some exemplary areas we are currently interested in:



The proposal for a Master’s thesis will show the overall goal of the thesis, the methods to achieve it, and the resources that are needed. The following parts should be included, but will need to be extended in a potential thesis:

  • Introduction to the topic
  • Introduction and first visualizations of the to-be-analyzed dataset
  • Preliminary literature review of current publications related to the topic
  • Overview of the to-be-used methods, how they will be utilized, and how their application will answer the research question

The proposal typically comprises 4-8 pages. Should the proposal be accepted, appropriate passages can be adopted for the thesis.

General information

  • General information on Master's theses at the TUM Math department (link for Master Mathematics)
  • The M9 group also offers a Latex template
  • Our thesis guidelines
  • Searching & finding with the university library