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