Paper 1

ST425 Statistical Inference: Principles, Methods and Computation (1.0) #

Papers 2 & 3

A

Courses to the value of 2 unit(s) from the following:

ST405 Unsupervised Machine Learning and Multivariate Data Analysis (0.5)

ST409 Stochastic Processes (0.5) #

ST411 Generalised Linear Modelling and Survival Analysis (0.5) #

ST416 Multilevel Modelling (0.5) #

ST418 Advanced Time Series Analysis (0.5) #

ST442 Longitudinal Data Analysis (0.5) # (suspended 2025/26)

ST443 Machine Learning and Data Mining (0.5) #

ST444 Computational Data Science (0.5) # (suspended 2025/26)

ST445 Managing and Visualising Data (0.5) #

ST446 Distributed Computing for Big Data (0.5) #

ST449 Artificial Intelligence (0.5) #

ST451 Bayesian Machine Learning (0.5) #

ST454 Bayesian Data Analysis (0.5) # (suspended 2025/26)

ST455 Reinforcement Learning (0.5) #

ST456 Deep Learning (0.5) #

ST457 Graph Data Analytics and Representation Learning (0.5) #

ST463 Stochastic Simulation, Training, and Calibration (0.5) #

EC402 Econometrics (1.0) #

MY459 Computational Text Analysis and Large Language Models (0.5) #

MY461 Social Network Analysis (0.5)

Paper 4

B

Courses to the value of 1.0 unit from the following:

ST405 Unsupervised Machine Learning and Multivariate Data Analysis (0.5)

ST409 Stochastic Processes (0.5) #

ST411 Generalised Linear Modelling and Survival Analysis (0.5) #

ST416 Multilevel Modelling (0.5) #

ST418 Advanced Time Series Analysis (0.5) #

ST426 Applied Stochastic Processes (0.5) (suspended 2025/26)

ST433 Computational Methods in Finance and Insurance (0.5) # (withdrawn 2024/25)

ST442 Longitudinal Data Analysis (0.5) # (suspended 2025/26)

ST443 Machine Learning and Data Mining (0.5) #

ST444 Computational Data Science (0.5) # (suspended 2025/26)

ST445 Managing and Visualising Data (0.5) #

ST446 Distributed Computing for Big Data (0.5) #

ST449 Artificial Intelligence (0.5) #

ST451 Bayesian Machine Learning (0.5) #

ST454 Bayesian Data Analysis (0.5) # (suspended 2025/26)

ST455 Reinforcement Learning (0.5) #

ST456 Deep Learning (0.5) #

ST457 Graph Data Analytics and Representation Learning (0.5) #

ST459 Quantum Computation and Information (0.5) #

ST463 Stochastic Simulation, Training, and Calibration (0.5) #

EC402 Econometrics (1.0) #

MA407 Algorithms and Computation (0.5) #

MA427 Nonlinear Optimisation and Applications (0.5) #

MY456 Survey Methodology (0.5) #

MY457 Causal Inference for Observational and Experimental Studies (0.5) #

MY459 Computational Text Analysis and Large Language Models (0.5) #

MY461 Social Network Analysis (0.5)

MY476 Population Analysis: Methods and Models (0.5) #

Students can take up to a maximum of 1.0 unit from the following courses: ST443, ST444, ST445, ST446, ST449, ST455, ST456.