MSc in Statistics
Programme code: TMST
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 courses to the value of four full units.
Paper |
Course number and title | |
|---|---|---|
1 |
Statistical Inference: Principles, Methods and Computation | |
2-4 |
Courses to the value of three full unit from the following: | |
| ||
Multivariate Methods (H) | ||
Stochastic Processes (H) | ||
Generalised Linear Modelling and Survival Analysis (H) | ||
Multilevel Modelling (H) | ||
Non-linear Dynamics and the Analysis of Real Time Series (H) | ||
Developments in Statistical Methods (H) | ||
Time Series (H) | ||
Applied Stochastic Processes (H) | ||
Advanced Probability Theory (H) | ||
Longitudinal Data Analysis (H) (not available 2017/18) | ||
Machine Learning and Data Mining (H) | ||
Statistical Computing (H) | ||
Econometric Analysis * | ||
Algorithms and Computation (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. | |
Note: |
The total value of all non-ST courses, including those listed under Papers 2-4 above, should not exceed one unit. | |
|
* 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. | |
This programme is externally accredited by the RSS. Further information is available on the Department of Statistics website.
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.
