MSc Social Statistics (Statistics pathway)

Year 1

Supervised research for MSc Social Statistics
If you pass the Diploma examinations, you will be permitted to undertake supervised research starting in June and to submit a dissertation for the MSc in September. Providing satisfactory supervision arrangements can be made, you can work on a topic of your own choice.

Dissertations are about 15,000 words in length. They should demonstrate your mastery of the topic area, but they are not expected to contain a substantial original contribution. They generally take the form of a computer-based analysis of social science data or a computer-based examination of a statistical technique.

Examples of recent dissertation titles are:

• statistical methods for social networks
• multilevel models of class context on voters at the 1983 General Election
• log-linear models for complex survey data
• variance estimation for the Gini coefficient
• applications of graphical chain modelling
• exact inference for two-way contingency tables
• estimation of pay distributions from new earnings survey data
• comparing asset with money metric-based measures of poverty in Malawi

In addition to the core and compulsory modules listed below, option modules to the value of at least 20 CATS but no more than 25 CATS (i.e. two, three or four option modules) must be selected. Modules on other MSc programmes (e.g. MSc Economics) may be taken as options after discussion with your academic tutor and the MSc programme coordinator.

Core [?]

A core module is a module which must be taken and passed.

STAT6022Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Dissertation

STAT6083Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Generalised Linear Models

STAT6086Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Survey Methods I

STAT6099Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Research Skills

MATH6153Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Statistical Theory and Linear Models

RESM6005Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Survey Design

STAT6077Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Social Science Data: Sources and Measurement

STAT6084Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Multivariate Analysis

STAT6108Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Analysis of Hierarchical (Multilevel & Longitudinal) Data

STAT6079Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Computer Intensive Statistical Methods

DEMO6022Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Demographic Methods 2

MATH6033Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Epidemiological Methods

MATH6068Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Statistical Genetics

MATH6021Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Survival Analysis

MATH6025Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Bayesian Methods

MATH6027Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Design of Experiments

MATH6152Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Statistical Computing

RESM6001Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Philosophy of Social Science Research

RESM6003Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Qualitative Methods 1

DEMO6020Credit[?]

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Demographic Methods I