DSA8001    Data Analytics Fundamentals (20 CAT Points)
Pre-Requisites:    N/A
Module Coordinator:    Dr Laura Boyle/Dr Felicity Lamrock

Course Content
•    introduction of data analytics
•    statistical tools for understanding data,
•    hypothesis testing,
•    statistical modelling,
•    predictive and regression analysis
•    R system for working with statistical data
  

DSA8002    Database & Programming Fundamentals (20 CAT Points)
Pre-Requisites:    N/A
Module Coordinator:    Dr Matt Nicholl

Course Content
•    extracting, storing, managing, manipulating and integrating data
•    SQL and other specialist software
•    fundamentals of programming
•    procedural programming, object oriented programming
•    coding

DSA8003    Data Mining (20 CAT Points)
Pre-Requisites:    N/A
Module Coordinator:    Dr Felicity Lamrock

Course Content
•    basics of data mining
•    data, variable and dimension reduction
•    principal component, factor, and discriminant analysis
•    linear and generalised linear models
•    simple linear, nearest neighbour, and decision tree models
•    Bayes classifying, neural networks and genetic algorithms
•    clustering

DSA8021    Machine Learning (20 CAT Points)
Pre-Requisites:    N/A
Module Coordinator:    Dr David Wilkins

Course Content

•    Perceptrons and deep neural networks
•    Image and text classification with deep learning
•    Convolutional neural networks (CNNs)
•    Text embedding
•    Recurrent neural networks (RNNs), long short-term memory (LSTM) and gated recurrent units (GRUs)
•    Attention mechanisms and transformers
•    Autoencoders and anomaly detection
•    Transfer learning
•    Generative models and generative adversarial networks (GANs)

DSA8022    Frontiers in Analytics (20 CAT Points)
Pre-Requisites:    DSA8001, DSA8002
Module Coordinator:    Dr Salissou Moutari & Dr Emanuele Fino

Course Content
•    visual analytics as a science
•    decision theory and decision making
•    surrogate modelling
•    visualization theory and techniques
•    creation of interactive decision-making environments
•    Structural Equation Modelling (SEM) in R
•    network analysis in R
•    ethics in Data Science

DSA8023    Analytics in Action (20 CAT Points)
Pre-Requisites:    DSA8001, DSA8002, DSA8003, DSA8021, DSA8022
Module Coordinator:   Professor Adele Marshall

Course Content
•    3 assignments/presentations (2 group, 1 individual) working with real-life data provided by real-world businesses
•    evaluating problems
•    implementing analytics approaches using real data
•    effectively presenting results and recommendations

DSA8030    Individual Industry Based Project (60 CAT Points)
Pre-Requisites:    DSA8001, DSA8002, DSA8003, DSA8021, DSA8022, DSA8023
Module Coordinator:   Professor Adele Marshall

Course Content
•    12 week industry based placement culminating in written report and oral presentation
•    extensive analytics investigation based in a company and utilising knowledge gained in all previous modules
•    the placement is unsalaried and the student is required to work on the company premises
•    student will be supervised by an Academic and Placement Supervisor
•    contract will be signed by all parties to ensure mutual understanding of the project