Topics for Theses in Statistics

The following list comprises subjects that are currently available for theses in statistics. Subjects suitable for bachelor theses are marked as BA while topics that are more suitable for master theses are marked as MA. Of course you can also suggest your own topic for a thesis if the topic comprises a strong focus on quantitative methods.


  • The prediction of TBE vaccination rates with mutivariate time series (MA, in collaboration with Pfizer)
  • Critical Economic research: Quantitative versus Qualitative Methods in Feminist or Ecological Economics (BA/MA)
  • Critical Economic research: A review of Methodology in Economics (BA/MA)
  • Determinants of / Defining Informal Employment (BA/ MA)
  • Determinants of Informal Employment: An Analysis using Time Use Surveys (MA)
  • Implementation of a diagnostic tool for misspecification of random effects in mixed models based on the gradient function (MA)
  • Simulation assessment of the normal approximation for (multiple) estimators in an expectile regression (BA/MA)
  • Analysing Inequalities using Linear Models (BA)
  • A Statistical Assessment of a Start-Up Venture (BA)
  • Analysing German Sign Language using Deep Learning Algorithms (MA)
  • Analysing Inequalities using Generalised Additive Models of Location, Scale and Shape (MA)
  • Variable Importance Measures for Functional Gradient Descent Boosting (MA)
  • Bayesian Restricted Spatial Regression for Dealing with Spatial Confounding (MA)
  • Variable selection for causal inference in observational data: state-of-the-art practices and propositions for GAMLSS (BA/MA)
  • GAMLSS in regression discontinuity designs: methods and applications in impact evaluation (MA)
  • Eine Analyse der UN-Nachhaltigkeitsindikatoren auf kommunaler Ebene (BA)
  • Extending reverse Bayesian methods in statistical inference (MA)
  • Rent indices in Germany's cities - a comparison of approaches (BA/MA)
  • Does the ban of p-values improve the reliability of statistical results? A regression discontinuity approach (MA)
  • Spatial models for circular data (MA)
  • Covariate oriented mesh generation with finite element analysis: a more calibrated way of generating spatial grids? (MA)
  • Evaluating models for German annual accumulated precipitation (BA)
  • Analyse von kommunalen/betrieblichen Umwelt- und Energiemanagementsystemen (BA)
  • Pro-Environmental Workplace Intention Behavior at the University (BA/MA)
  • Natural language processing: dynamic and structural topic models (MA)
  • Causal Inference and Machine Leanring: Estimation of heterogeneous treatment effects using random forests (MA)
  • Causal Inference and Deep Learning: Deep instrumental variables networks (MA)
  • Credit repayments behaviour classification using Machine Learning and Deep Learning on Big Data (MA)
  • Optical character recognition (OCR) and cleaning of text data (MA)
  • Deep Learning Algorithms for Point Clouds: Prediction based on 3D Laser Scanner Data (MA)
  • Predicting gym attendance at Fitness and Gesundheitszentrum (FIZ) based on temporal variables (MA
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  • R packages surrounding distributional regression (MA)