MSc in Statistics (Social Statistics)
Programme code: TMSTSS
Department: Statistics
This information is for the 2017/18 session.
Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules
Academic-year programme. Students must take two compulsory courses and options to the value of 2.5 units as shown below.
Paper |
Course number and title | |
|---|---|---|
1 |
Statistical Inference: Principles, Methods and Computation | |
2 |
Generalised Linear Modelling and Survival Analysis (H) | |
3 | ||
One half-unit from the following: | ||
Multivariate Methods (H) | ||
Multilevel Modelling (H) | ||
Longitudinal Data Analysis (H) (not available 2017/18) | ||
4 | ||
Courses to the value of two units from the following: | ||
Courses listed under Paper 3 | ||
Developments in Statistical Methods (H) | ||
Machine Learning and Data Mining (H) | ||
Statistical Computing (H) | ||
Econometrics (H) | ||
Techniques of Spatial Economic Analysis (H) | ||
Survey Methodology (H) | ||
Causal Inference for Observational and Experimental Studies (H) | ||
Population Analysis: Methods and Models (H) | ||
Other courses may be taken with permission, except for: ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM. | ||
The Bologna Process facilitates comparability and compatibility between higher education systems across the European Higher Education Area. Some of the School's taught master's programmes are nine or ten months in duration. If you wish to proceed from these programmes to higher study in EHEA countries other than the UK, you should be aware that their recognition for such purposes is not guaranteed, due to the way in which ECTS credits are calculated.
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.
