MSc in Statistics (Social Statistics) (Research)
Programme Code: TMSTSSRE
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 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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ST442 Longitudinal Data Analysis (0.5) # (not available 2022/23) | |
Paper 4 |
Courses to the value of 1.0 unit(s) from the following: | |
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ST442 Longitudinal Data Analysis (0.5) # (not available 2022/23) | |
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ST449 Artificial Intelligence (0.5) | |
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MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
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MY461 Social Network Analysis (0.5) | |
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SP431 Population Analysis: Methods and Models (0.5) # (withdrawn 2021/22) | |
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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 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.
