MSc in Statistics (Social Statistics) (Research)
Programme Code: TMSTSSRE
Department: Statistics
For students starting this programme of study in 2019/20
Guidelines for interpreting programme regulations
Full-year programme. Students must take two compulsory courses, options to the value of 1.5 units and a dissertation as shown below.
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 |
ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
Paper 3 |
Courses to the value of 0.5 unit(s) from the following: | |
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Paper 4 |
Courses to the value of 1.0 unit(s) from the following: | |
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ST444 Statistical Computing (0.5) | |
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ST445 Managing and Visualising Data (0.5) | |
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ST449 Artificial Intelligence and Deep Learning (0.5) | |
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MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
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MY459 Special Topics in Quantitative Analysis: Quantitative Text Analysis (0.5) # | |
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MY461 Social Network Analysis (0.5) | |
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Other courses may be taken with permission, except for: ST429, ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM. | |
Paper 5 |
ST499 Dissertation (1.0) | |
# 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.
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 .
