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M.Sc by Coursework Programme
Programme Progression Path

Information correct as of 17 August 2009

The department reserves the right to amend the progression path when the need arises.

Academic Year 2008/09

Semester 1

Semester 2

ST5201 Basic Statistical Theory
ST5202 Applied Regression Analysis
ST5210 Multivariate Data Analysis
ST5220 Statistical Consulting
MA6293 Topics in Mathematics III: Stein's Method

ST5206 Generalized Linear Model
ST5212 Survival Analysis
ST5213 Categorical Data Analysis II
ST5218 Advanced Statistical Methods in Finance

Academic Year 2009/10

Semester 1

Semester 2

ST5201 Basic Statistical Theory
ST5203 Experimental Design
ST5207 Nonparametric Regression
ST5211 Sampling From Finite Populations


ST5202 Applied Regression Analysis
ST5208 Statistics for Quality and Productivity Improvement
ST5209 Analysis of Time Series Data (Tentative)
ST5217 Statistical Method for Genetic Analysis

Academic Year 2010/11

Semester 1

Semester 2

ST5201 Basic Statistical Theory
ST5206 Generalized Linear Model
ST5210 Multivariate Data Analysis
ST5219 Bayesian Hierarchical Modelling
ST5220 Statistical Consulting

ST5202 Applied Regression Analysis
ST5212 Survival Analysis
ST5213 Categorical Data Analysis II
ST5218 Advanced Statistical Methods in Finance

Note:

Maths and Statistics honours graduate within the past 2 years are not allowed to take ST5201. Please submit the application form "Waiver from reading Module ST5201".

Students are required to read 2 modules per semester and follow the progression path as laid down by the department to graduate at the end of the two and a half years. Students who digress from this path may find themselves taking longer than two and a half years to graduate.

 

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