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MSc in Statistics (Research)

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Programme Code: TMSTRE

Department: Statistics

For students starting this programme of study in 2023/24

Guidelines for interpreting programme regulations


Full-year programme. Students must take courses to the value of three full units and a dissertation.

Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.

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

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) #

ST422 Time Series (0.5) # (withdrawn 2024/25)

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ST433 Computational Methods in Finance and Insurance (0.5) # (withdrawn 2024/25)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

DV476 Population Analysis: Methods and Models (0.5) # (withdrawn 2024/25)

MA407 Algorithms and Computation (0.5) #

MA427 Nonlinear Optimisation and Applications (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 Computational Text Analysis and Large Language Models (0.5) #

MY461 Social Network Analysis (0.5)

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

Footnotes

# means there may be prerequisites for this course. Please view the course guide for more information.

A: Papers 3 & 4: Other courses may be taken with permission, except for: ST429, ST436, ST440, MA415, MA416, MA420 and any courses indexed FM.

The total value of all non-ST courses should not exceed one unit.

This programme is externally accredited by the RSS. Further information is available on the

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the . Changes to course and programme information for future academic sessions can be found on the .