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MSc in Statistics

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Programme Code: TMST

Department: Statistics

For students starting this programme of study in 2017/18

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.

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) #

Papers 2 & 3

Courses to the value of 2.0 unit(s) from the following:

 

ST405 Multivariate Methods (0.5) #

 

ST409 Stochastic Processes (0.5) #

 

ST416 Multilevel Modelling (0.5) #

 

ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) #

 

ST421 Developments in Statistical Methods (0.5) #  (withdrawn 2018/19)

 

ST422 Time Series (0.5) #

 

ST426 Applied Stochastic Processes (0.5)

 

ST435 Advanced Probability Theory (0.5) #  (withdrawn 2019/20)

 

ST442 Longitudinal Data Analysis (0.5) #

 

ST443 Machine Learning and Data Mining (0.5) #

 

ST444 Statistical Computing (0.5)

Paper 4

Courses to the value of 1.0 unit from the following:

 

ST405 Multivariate Methods (0.5) #

 

ST409 Stochastic Processes (0.5) #

 

ST411 Generalised Linear Modelling and Survival Analysis (0.5) #

 

ST416 Multilevel Modelling (0.5) #

 

ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) #

 

ST421 Developments in Statistical Methods (0.5) #  (withdrawn 2018/19)

 

ST422 Time Series (0.5) #

 

ST426 Applied Stochastic Processes (0.5)

 

ST435 Advanced Probability Theory (0.5) #  (withdrawn 2019/20)

 

ST442 Longitudinal Data Analysis (0.5) #

 

ST443 Machine Learning and Data Mining (0.5) #

 

ST444 Statistical Computing (0.5)

 

EC484 Econometric Analysis (1.0) # A

 

MA407 Algorithms and Computation (0.5) #

 

MY456 Survey Methodology (0.5) #

 

MY457 Causal Inference for Observational and Experimental Studies (0.5) #

 

SA481 Population Analysis: Methods and Models (0.5) #  (withdrawn 2019/20)

 

Other courses may be taken with permission, except for: ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM.

Footnotes

A : 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.

# 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.

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.