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MSc in Statistics (Social Statistics)

Programme Code: TMSTSS

Department: Statistics

For students starting this programme of study in 2021/22

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.

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) #

Paper 2

ST411 Generalised Linear Modelling and Survival Analysis (0.5) #

AND

 

Courses to the value of 0.5 unit(s) from the following:

 

ST405 Multivariate Methods (0.5) #

 

ST416 Multilevel Modelling (0.5) #  (not available 2024/25)

 

ST442 Longitudinal Data Analysis (0.5) #

Paper 3

Courses to the value of 1.0 unit(s) from the following:

 

ST405 Multivariate Methods (0.5) #

 

ST416 Multilevel Modelling (0.5) #  (not available 2024/25)

 

ST442 Longitudinal Data Analysis (0.5) #

 

ST443 Machine Learning and Data Mining (0.5) #

 

ST444 Computational Data Science (0.5) #

 

ST445 Managing and Visualising Data (0.5) #

 

ST446 Distributed Computing for Big Data (0.5) #

 

ST449 Artificial Intelligence (0.5) #

 

ST451 Bayesian Machine Learning (0.5) #

 

ST454 Bayesian Data Analysis (0.5) #

 

ST455 Reinforcement Learning (0.5) #

 

ST456 Deep Learning (0.5) #

 

MY459 Quantitative Text Analysis (0.5) #

 

MY461 Social Network Analysis (0.5)

Paper 4

Courses to the value of 1.0 unit(s) from the following:

 

ST405 Multivariate Methods (0.5) #

 

ST416 Multilevel Modelling (0.5) #  (not available 2024/25)

 

ST442 Longitudinal Data Analysis (0.5) #

 

ST454 Bayesian Data Analysis (0.5) #

 

GY460 Techniques of Spatial Economic Analysis (0.5) #

 

MA427 Mathematical Optimisation (0.5) #

 

MY456 Survey Methodology (0.5) #

 

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

 

MY459 Quantitative Text Analysis (0.5) #

 

MY461 Social Network Analysis (0.5)

 

Other courses may be taken with permission, except for: ST429, ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM.

Prerequisite Requirements and Mutually Exclusive Options

# 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.

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.