MSc in Statistics (Research)

Programme code: TMSTRE

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

Full-year programme. Students must take courses to the value of three full units and a dissertation.

Paper

Course number and title

1

ST425

Statistical Inference: Principles, Methods and Computation

2

ST499

Dissertation

3 & 4

Courses to the value of two full units from the following:

 

ST405

Multivariate Methods (H)

 

ST409

Stochastic Processes (H)

 

ST411

Generalised Linear Modelling and Survival Analysis (H)

 

ST416

Multilevel Modelling (H)

 

ST418

Non-linear Dynamics and the Analysis of Real Time Series (H) 

 

ST421

Developments in Statistical Methods (H)

 

ST422

Time Series (H)

 

ST426

Applied Stochastic Processes (H)

 

ST435

Advanced Probability Theory (H)

 

ST442

Longitudinal Data Analysis (H) (not available 2017/18)

 

ST443

Machine Learning and Data Mining (H)

 

ST444

Statistical Computing (H)

 

EC484

Econometric Analysis *

 

MA407

Algorithms and Computation (H)

 

MY400

Fundamentals of Social Science Research Design (H) 

 

MY456

Survey Methodology (H) 

 

MY457

Causal Inference for Observational and Experimental Studies (H)

 

SA481

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 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 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.

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.