MSc in Statistics (Research)

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Programme Code: TMSTRE

Department: Statistics

For students starting this programme of study in 2020/21

Guidelines for interpreting programme regulations

Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

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	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) ^#
	ST422 Time Series (0.5) ^# (withdrawn 2024/25)
	ST426 Applied Stochastic Processes (0.5) (not available 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) ^#
	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)
	SP431 Population Analysis: Methods and Models (0.5) ^# (withdrawn 2021/22)
	Other courses may be taken with permission, except for: ST429, ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM.

Prerequisite Requirements and Mutually Exclusive Options

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

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 Department of Statistics website.

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

MSc in Statistics (Research)

Paper

Course number, title (unit value)

Prerequisite Requirements and Mutually Exclusive Options