Core
Research Project
Computer science modules
Students with background in Computer Science must take 60 credits from the following list modules:

Machine Learning
Knowledge, Representation and Reasoning
Advanced Algorithms and Data Structures
Computer Vision
Simulation and Optimisation for Decision Support
Data Modelling and Analysis
Professional Ethics in Computing
Computability
Parallel Computing
Advanced Algorithms and Data Structures can be taken as a 20 credit module that includes a group project, or as a 10 credit module without a group project.

 

Students without a background in Computer Science must start with:

Programming
And are then required to obtain 40 credits from the remaining list of Computer Science modules:

Data Modelling and Analysis
Computer Vision
Machine Learning
Simulation and Optimisation for Decision Support
Mathematical Sciences modules
Students without a background in Mathematical Sciences must start with:

Statistical Foundations
And are then required to obtain 40 credits from the following list of Mathematical Science modules:

Applied Statistical Modelling
Applied Multivariate Statistics
Time Series and Forecasting
Students with a background in Mathematical Sciences must start with:

Statistical Machine Learning
And are then required to obtain 40 credits from the following list of Mathematical Science modules:

Applied Multivariate Statistics
Applied Statistical Modelling
Computational Statistics 20 credits
Statistical Inference