Dissertation Topics for Bachelor of Science in Statistics

Predictive Modeling: Using Statistics to Forecast Economic Trends

Analyzing Public Health Data: Statistical Approaches to Disease Prevention

Exploring the Role of Statistics in Machine Learning Algorithms

Data Visualization Techniques for Complex Statistical Data

The Impact of Sampling Methods on Statistical Inferences

Statistical Analysis of Sports Data: Predicting Outcomes and Performance

Statistical Methods in Genetics: Identifying Genetic Variants

Statistical Approaches to Social Media Data: Sentiment Analysis

Time Series Analysis in Financial Markets: Modeling Stock Prices

Bayesian Statistics: Applications in Real-World Problems

Statistical Approaches to Environmental Data: Analyzing Climate Change

Survey Design and Statistical Sampling in Market Research

Regression Analysis in Business Decision Making

Understanding Statistical Errors and Biases in Clinical Trials

Data Mining and Statistical Methods in Big Data

Statistical Methods in Biostatistics: Analyzing Medical Research

Nonparametric Statistics: Comparing Groups Without Assumptions

Using Statistics for Risk Management in Finance and Insurance

Statistical Inference in Political Polling and Election Predictions

Multivariate Analysis: Exploring Relationships Between Multiple Variables

Machine Learning and Statistical Models for Image Recognition

Time Series Forecasting: Applications in Economics and Business

Data Science with Statistics: Building Predictive Models for Business

Statistical Quality Control in Manufacturing and Production

Randomized Controlled Trials: Statistical Methods in Experimental Design

Statistical Modeling of Health Data: Predicting Disease Outcomes

Data Analysis in Sports Science: Performance and Injury Prediction

Using Statistics for Optimization in Operations Research