Applied Data Science
and Analytics
From business questions to meaningful insights. Explore the programme, its core subjects and the research behind the practice.
The Institute of Technology Blanchardstown’s MSc began as Business Intelligence and Data Mining, later becoming Applied Data Science and Analytics. The two-year, part-time online programme brought together theory, practical analysis and independent research.
Live online lectures, recorded sessions and continuous assessment supported students studying alongside their work. The programme connected data analysis to real problems across business, industry and the public sector.
Foundations, then application.
Business Intelligence
Business objectives, data warehousing, ethics and the analytics lifecycle.
Data Mining Algorithms
Classification, regression, clustering, association and sequence analysis.
Data Exploration & Pre-processing
Data quality, transformation, visualisation and preparation for modelling.
Data Science Applications
A practical project that connects an analytical question to a business objective.
Read the original papers.
Neural Networks and Back Propagation Algorithm
An introduction to neural network architecture, learning by example and the logic of back propagation.
Read paper ↗PDF · ClusteringAgglomerative Hierarchical Clustering
A review of clustering algorithms, distance functions, dendrograms and the evaluation of cluster sets.
Read paper ↗PDF · PredictionPredicting Earning Potential on the Adult Dataset
A business intelligence and data mining applications project using the UCI Adult dataset.
Read paper ↗Looking for current courses?
Find present-day course information and admissions details on TU Dublin’s official website ↗.