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Paper

Course number, title (unit value)

Paper 1

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

Paper 2

ST499 Dissertation (1.0)

Papers 3 & 4

Courses to the value of 2.0 unit(s) from the following:

ST405 Multivariate Methods (0.5) ^#

ST409 Stochastic Processes (0.5) ^#

ST411 Generalised Linear Modelling and Survival Analysis (0.5) ^#

ST416 Multilevel Modelling (0.5) ^#  (not available 2024/25)

ST418 Advanced Time Series Analysis (0.5) ^#

ST426 Applied Stochastic Processes (0.5)  (not available 2024/25)

ST433 Computational Methods in Finance and Insurance (0.5) ^#  (withdrawn 2024/25)

ST442 Longitudinal Data Analysis (0.5) ^#

ST443 Machine Learning and Data Mining (0.5) ^{# *}

ST444 Computational Data Science (0.5) ^{# *}

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) ^#

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) ^#

MA407 Algorithms and Computation (0.5) ^#

MA427 Mathematical Optimisation (0.5) ^#

MY400 Fundamentals of Social Science Research Design (0.5)

MY456 Survey Methodology (0.5) ^#

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

MY459 Quantitative Text Analysis (0.5) ^#

MY461 Social Network Analysis (0.5)

MY476 Population Analysis: Methods and Models (0.5) ^#

Other courses may be taken with permission, except for: ST429, ST436, ST440, MA415, MA416, MA420 and any courses indexed FM.

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