Course Content
Year 1
- Information Retrieval
 - Introduction to Natural Language Processing
 - Principles of Machine Learning
 - Programming for Data Analytics
 - Deep Learning
 - Web and Network Science
 - Data Visualisation
 - Case Studies in Data Analytics
 
Optional
- Tools & Techniques for Large Scale Data Analytics
 - Modelling I
 - Statistics for Data Science 1
 - Applied Statistics I
 - Systems Modelling and Simulation
 - Discrete Mathematics
 - Knowledge Graphs
 - Advanced Topics in Natural Language Processing
 - Statistics for Data Science 2
 - Embedded Image Processing
 - Applied Statistics II