Below is a sample of MSc Research project titles. Note: Some students asked that first names only are used, and some preferred to be anonymous.
Neil (2020). Win, Lose or Draw, Semantic Analysis of Twitter Football Fans
Oswell Hita (2020). Application of data analytics techniques to produce a reagent control philosophy in PGM flotation circuits.
Stephen (2020). Histopathologic cancer detection utilising Convolutional Neural Networks
Pat Tyrrell (2020). Extracting similarity in sentences extracted from medical journals:
John (2019). Data science methods for drug repurposing and hypothesis expansion using literature-based Discovery
Vincent English (2019). A Twitter study into how sentimental the British are about Brexit and the predictive ability of neural networks
Jirapon Sunkpho (2019). Thai Words Segmentation using Unsupervised Learning Technique
Alan Farrell (2019) Prediction of Sleep Duration and Sleep Quality in the General Population
Brian Meehan (2019 ). Using Feature Metadata to Improve Class-dependent Feature Selection for Imbalanced Data with High Dimensionality and Lack of Information
(2019) Using Feature Metadata to Improve Class-dependent Feature Selection for Imbalanced Data with High Dimensionality and Lack of Information
Rory (2018). Prediction of student academic performance using Moodle data from a Further Education setting
Sylwia Sosinska (2018). Automated topic modelling on Irish and English politicians’ speeches in terms of their sentiment towards Brexit
Sergio De Vega Gomez (2017). Performance Comparison of Fuzzy vs. Non Fuzzy Clustering and Classification algorithms
Brian (2017). Sentiment analysis and comparison of public bike sharing schemes in different geographical regions
David Moore (2017). Internet of Things, Applied Data Science, and measurement interval
Mirko Schinck (2017). Analysis of a Large Spirits Online Shop and its Customer Behaviour
Pamela Yourell (2016). Do gender and the presence of children have an influence on telecommuting practices?
(2015 ). Travel Time as a Proximity Measure for Geo-Spatial K-Means Clustering
Saravana Kumar (2015). Crime data analysis for the city of Chicago
Lukasz Mazur (2015). WEB MINING FOR PRODUCTS PRICES COMPARISON BETWEEN DIFFERENT COUNTRIES
Mulluken Nega Wondie (2015). Effectiveness of term weighting approaches for sparse social media text sentiment analysis
Izabela Wowczko (2015). Skills and Vacancy Analysis with Data Mining Techniques
Daniel (2014). Measuring access to public health care services for children within Ireland
Caroline Ryan (2014). An investigation into unsupervised outlier detection methods for the detection of dirty data and the impact of their use on data mining results.
Igor Wodyk (2014). Email Average Handle Time Prediction Analysis
Patrick Mannix (2013). The Value Of Sentiment Analysis On Social media Customer Interactions In A telecommunications Environment
Athanasios Paraskevas (2013). Ensemble machine learning techniques for numeric prediction in health domain
Spiridon Paraskevas (2013). Modern Regression and Model selection techniques: Numerical Prediction in Healthcare
Peter Brennan (2012). A comprehensive survey of methods for overcoming the class imbalance problem in fraud detection
Andrew Chisholm (2012). AN INVESTIGATION INTO ZIPF’S LAW AND THE EXTENT OF ITS USE IN AUTHOR ATTRIBUTION