Statistics and Data Science – Student Projects

Development of a R package to investigate progression rates from post-primary schools to third-level colleges

Emma Howard (email | all projects)

**This project is for students in the Online Statistics & Data Science programme (M.Sc) only. No other student will be accepted for this project.** The Irish Times publishes the proportion of students in individual post-primary schools who progressed to third-level institutions annually (e.g., https://www.irishtimes.com/ireland/education/2022/12/14/feeder-schools-2022-top-tables/). Unsurprisingly, fee-paying schools have the highest progression rates. Some of this data has been … Read more

Investigating the Impact of Data Quality

Emma Howard (email | all projects)

**This project is for students in the Online Statistics & Data Science programme (M.Sc) only. No other student will be accepted for this project.* Data quality is defined as ‘the capability of data to satisfy stated and implied needs when used under specific conditions’ (International Organisation for Standardisation). Data quality issues can include missing data, misspellings and typos, … Read more

TAKEN: Modelling quality of life for ANCA Vasculitis patients

Arthur White (email | all projects)

This project will be supported by colleagues in the School of Medicine and the PARADISE research group. ANCA Vasculitis is a rare auto-immune disease in which sufferers are susceptible to flares, whereby a person’s immune system attacks their own body. This project will involve analysing data measuring patient’s quality of life using the EQ-5D procedure. … Read more

TAKEN: Using Public Data to Predict and Plan Cycling Participation in Urban Areas

Arthur White (email | all projects)

In this project you will use public datasets from Met Eireann and Dublin City Council to understand which factors influence cycling participation in Dublin. Very broadly, the goal of the project is to try and understand what kinds of policy decisions might help to promote active travel. This project will be supported by a colleague … Read more

TAKEN: Cluster analysis to improve understanding of adult diagnosis of Autism

Arthur White (email | all projects)

This project will be in collaboration with Prof. Olive Healy in the School of Psychology and is suitable for students in the Statistics and Data Science, Statistics and Sustainability, and Data Science MSc programmes. The goal of this project will be to analyse data extracted from an online survey of adults who have received a … Read more

Kernel density estimation and regression

Athanasios Georgiadis (email | all projects)

In this project we are exploring non-parametric methods for the estimation of probability density functions and for regression. The interested Student must be comfortable with Statistics and Mathematics. The Student must do a search about kernel density estimation and Nadaraya–Watson kernel regression. You may also have a look in Prof. Tsybakov’s book “Introduction to nonparametric … Read more

Estimating the number of species

Simon Wilson (email | all projects)

ELIGIBILITY: This project is for a student on the M.Sc. in Statistics and Data Science. In this project, we’ll look at the various ways in which ecologists have attempted to answer the question ‘How many species are there?’. Some of these methods are statistical, and we’ll focus on those, but we’ll also take a look … Read more

Exploring survival analysis 1

Simon Wilson (email | all projects)

ELIGIBILITY: This project is for a student taking the online MSc in Statistics and Data Science. Survival analysis refers to models and methods for survival data, that is, data on the failure of a system. Usually this takes the form of times when failure occurs, with the failure referring to events like the system no … Read more

R Shiny Apps for Teaching Statistics Concepts

Emma Howard (email | all projects)

**This project is for students in the Online Statistics & Data Science programme (M.Sc) only. No other student will be accepted for this project.** R Shiny apps are being used to enrich the teaching of statistics courses (Berkmann et al., 2025; Wang et al., 2021). These apps can provide students with an engaging and interactive experience. One popular app is Radiant … Read more

Student led project in education or reproducibility

Emma Howard (email | all projects)

**This project is for students in either the Online Statistics & Data Science programme (M.Sc). No other student will be accepted for this project.** I am happy to supervise student led project in the areas of online learning, the use of technology in higher education; data analysis or applied statistics in the areas of higher … Read more