75+ Statistics Dissertation Topics for 2025 Research

Statistics Dissertation Topics

Choosing a dissertation topic in statistics can feel like trying to find patterns in randomness — but once you lock onto a theme that genuinely interests you, the ideas start flowing.

This list offers 75+ focused statistics dissertation topics — each designed to help you explore specific, useful, and data-driven questions. Whether you’re into public health, finance, machine learning, education, or pure data theory, there’s something here for you.

Statistical Modelling & Probability

• Modelling rainfall patterns using Poisson processes
  
• Exploring Bayesian vs frequentist methods in small datasets
  
• The role of Markov chains in decision analysis
  
• Predicting rare events with extreme value theory
  
• Multinomial logistic regression in categorical outcomes
  
• Use of Monte Carlo methods in uncertainty modelling
  
• Hidden Markov models in speech recognition systems
  
• Evaluating model fit in hierarchical Bayesian models
  
• Spatial statistical models for earthquake predictions
  
• Reliability analysis using survival probability models
  

Medical & Health Statistics

• Analysing treatment effects using meta-analysis
  
• Application of Cox regression in cancer survival studies
  
• Longitudinal studies in tracking disease progression
  
• Data imputation techniques in clinical trials
  
• Modelling healthcare access inequalities using survey data
  
• The impact of lifestyle factors on heart disease: a logistic approach
  
• Age-period-cohort models in public health trends
  
• Predicting patient readmission rates using machine learning
  
• Statistical evaluation of vaccine effectiveness
  
• Smoking cessation programme outcomes through time series models
  

Business, Finance & Risk

• Credit risk prediction using logistic regression
  
• Time series modelling in cryptocurrency market volatility
  
• Forecasting customer churn in telecom data
  
• Analysing risk preferences using utility theory
  
• Measuring portfolio performance with Sharpe ratios
  
• Monte Carlo simulations in financial option pricing
  
• Detecting fraud using classification algorithms
  
• Econometric modelling of inflation in the UK economy
  
• Forecast accuracy comparison between ARIMA and exponential smoothing
  
• The role of statistics in behavioural finance
  

Education, Psychology & Social Statistics

• Analysing student performance using multilevel models
  
• The relationship between class size and academic achievement
  
• Statistical evaluation of online vs in-person learning outcomes
  
• Survey bias and sampling errors in social research
  
• Predicting dropout rates in higher education
  
• Data quality issues in longitudinal educational surveys
  
• Impact of school location on test scores using regression analysis
  
• Latent class models in personality trait research
  
• Analysing response patterns in standardised testing
  
• Inter-rater reliability in psychological testing
  

Machine Learning & Data Science

• Classification accuracy of logistic vs decision tree models
  
• Evaluating overfitting risk in ensemble methods
  
• Feature selection methods in high-dimensional datasets
  
• Model comparison metrics for supervised learning tasks
  
• Bias-variance trade-off in regression models
  
• K-means clustering applications in market segmentation
  
• Evaluation of random forest vs gradient boosting for prediction
  
• Cross-validation techniques in machine learning pipelines
  
• Dimensionality reduction using PCA in large datasets
  
• Statistical underpinnings of neural network training
  

Environmental & Agricultural Statistics

• Modelling crop yields under climate variability
  
• Time series analysis of air pollution in urban centres
  
• Predicting drought patterns using rainfall data
  
• Cluster analysis of soil quality indicators
  
• Statistical modelling of pest population growth
  
• Spatial statistics in deforestation impact studies
  
• Greenhouse gas emission trends using regression models
  
• Estimating wildlife population using capture-recapture methods
  
• Water quality assessment using multivariate analysis
  
• Impact of fertiliser use on soil health: a data-driven study
  

Experimental Design & Survey Methods

• Comparing designs: crossover vs parallel in medical trials
  
• Analysing factorial experiments in agriculture
  
• Power analysis and sample size determination in health studies
  
• Stratified sampling vs simple random sampling: a comparison
  
• Validity and reliability issues in public opinion polls
  
• Response rate analysis in online vs paper-based surveys
  
• Using bootstrapping techniques in survey data
  
• Survey weighting and its impact on national estimates
  
• Modelling nonresponse bias in social science surveys
  
• Impact of question wording on survey outcome variability
  

General & Interdisciplinary

• Statistics in sports: predicting outcomes in cricket
  
• Data ethics and responsible use of statistical models
  
• Misuse of p-values in published research
  
• Teaching statistics in secondary education: data from classrooms
  
• The role of statistics in evidence-based policymaking
  

Final Words

The strongest dissertation topics in statistics are the ones that solve real problems or uncover useful patterns. Whether you prefer data-heavy computation, predictive modelling, or real-world surveys, the right question is the one you’re curious enough to follow through. Find a topic that holds your attention — the rest gets easier from there.