MSc in Statistics (Research)
Programme Code: TMSTRE
Department: Statistics
For students starting this programme of study in 2018/19
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 1.0 unit from the following: | |
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ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
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ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) # (not available 2018/19) | |
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ST421 Developments in Statistical Methods (0.5) # (withdrawn 2018/19) | |
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ST426 Applied Stochastic Processes (0.5) | |
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ST444 Statistical Computing (0.5) | |
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ST449 Artificial Intelligence and Deep Learning (0.5) | |
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MY400 Fundamentals of Social Science Research Design (0.5) | |
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MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
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Other courses may be taken with permission, except for: ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM. | |
Footnotes
A : Statistics students taking EC484 will be required to register in early September in order to attend the econometrics component of the introductory course EC451. Students must pass an exam taken at the end of the introductory course in order to proceed to EC484.
# 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.
