MSc in Statistics (Social Statistics)

Programme Code: TMSTSS

Department: Statistics

For students starting this programme of study in 2019/20

Guidelines for interpreting programme regulations

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) ^#
	ST442 Longitudinal Data Analysis (0.5) ^# (not available 2022/23)
Paper 3	Courses to the value of 1.0 unit(s) from the following:
	ST405 Multivariate Methods (0.5) ^#
	ST416 Multilevel Modelling (0.5) ^#
	ST442 Longitudinal Data Analysis (0.5) ^# (not available 2022/23)
	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) ^#
	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) ^#
	ST442 Longitudinal Data Analysis (0.5) ^# (not available 2022/23)
	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) ^#
	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)
	SP431 Population Analysis: Methods and Models (0.5) ^# (withdrawn 2021/22)
	Other courses may be taken with permission, except for: ST429, ST433, ST436, ST439, ST440, MA415, MA416, MA420 and any courses indexed FM.

# 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 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 . Changes to course and programme information for future academic sessions can be found on the .

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MSc in Statistics (Social Statistics)

Paper

Course number, title (unit value)