MSc in Statistics (Research)
Programme code: TMSTRE
Department: Statistics
This information is for the 2016/17 session.
Full-year programme. Students must take courses to the value of three full units and a dissertation.
Guidelines for interpreting programme regulations
Paper |
Course number and title | |
|---|---|---|
1 |
Statistical Inference: Principles, Methods and Computation | |
2 |
Dissertation | |
3 & 4 |
Courses to the value of two full units 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) | |
|
Machine Learning and Data Mining (H) | |
|
Statistical Computing (H) | |
|
Econometric Analysis * | |
|
Algorithms and Computation (H) | |
|
Fundamentals of Social Science Research Design (H) | |
|
Survey Methodology (H) | |
|
Causal Inference for Observational and Experimental Studies (H) | |
|
Mathematical Programming: Theory and Algorithms (H) | |
|
Population Analysis: Methods and Models (H) | |
|
Other non-ST course(s), with permission | |
Note: |
The total value of all non-ST courses, including those listed under Papers 3&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 pre-sessional course EC451. Students must pass an exam taken at the end of the pre-sessional in order to proceed to EC484. | |
This programme is externally accredited by the RSS. Further information is available on the Department of Statistics website.
