8596 modules
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MATH6173 2028-29
Statistical Computing
This module consists of lecturers and associated practical sessions. The first part will focus on basic statistical programming in R. The second part will provide an introduction to some modern computational statistical methods and their implementation in R. The module includes 18 lectures and 18 computer practical sessions for students to gain hands-on experience of statistical programming and computation. -
MATH6166 2026-27
Statistical Computing for Data Scientists
This module will provide an introduction to basic statistical programming in R. It consists of lecturers and associated practical sessions for students to gain hands-on experience of statistical programming. -
MATH6191 2025-26
Statistical Computing in R
The module provides an introduction to statistical programming in R. The module consists of lectures and computer labs for students to gain hands-on experience of statistical programming. -
MATH6191 2026-27
Statistical Computing in R
The module provides an introduction to statistical programming in R. The module consists of lectures and computer labs for students to gain hands-on experience of statistical programming. -
MATH6191 2027-28
Statistical Computing in R
The module provides an introduction to statistical programming in R. The module consists of lectures and computer labs for students to gain hands-on experience of statistical programming. -
STAT6152 2026-27
Statistical Disclosure Control
The module covers methods of disclosure control for tabular data and microdata, and how the utility of the resulting data is traded off against the risk of disclosure. -
MATH2011 2026-27
Statistical Distribution Theory
Functions of one and several random variables are considered such as sums, differences, products and ratios. The central limit theorem is proved and the probability density functions are derived of those sampling distributions linked to the normal distribution. Bivariate and multivariate distributions are considered, and distributions of maximum and minimum observations are derived.
This module is a pre-requisite for all subsequent statistics modules, and desirable for Actuarial Mathematics I and II and Simulation and Queues -
MATH2011 2027-28
Statistical Distribution Theory
Functions of one and several random variables are considered such as sums, differences, products and ratios. The central limit theorem is proved and the probability density functions are derived of those sampling distributions linked to the normal distribution. Bivariate and multivariate distributions are considered, and distributions of maximum and minimum observations are derived.
This module is a pre-requisite for all subsequent statistics modules, and desirable for Actuarial Mathematics I and II and Simulation and Queues -
MATH2011 2028-29
Statistical Distribution Theory
Functions of one and several random variables are considered such as sums, differences, products and ratios. The central limit theorem is proved and the probability density functions are derived of those sampling distributions linked to the normal distribution. Bivariate and multivariate distributions are considered, and distributions of maximum and minimum observations are derived.
This module is a pre-requisite for all subsequent statistics modules, and desirable for Actuarial Mathematics I and II and Simulation and Queues -
MATH6068 2025-26
Statistical Genetics
Statistical genetics has played a pivotal role in the discovery of genes that cause disease in humans. This module introduces the basic concepts and terms in genetics and demonstrates the use of statistical models to identify disease genes in humans.