Category: pgcert

STP80030 Dissertation

Module Code STP80030 Module Name Dissertation ECTS Weighting [1] 30 ECTS Semester Taught Full Year Module Coordinator/s   Assigned Supervisor Module Learning Outcomes On successful completion of this module, students … Read more

STP80140 Time Series

Module Code STP80140 Module Name Time Series ECTS Weighting[1] 5 ECTS Semester taught Semester 2 Module Coordinator/s   Dr Emma Howard Module Learning Outcomes On successful completion of this module, … Read more

STP80130 – Multivariate Analysis

(Semester 2; 5 ECTS) This module will include the theory of multivariate distributions, including the multivariate Gaussian distribution.; methods for dimension reduction; classification methods and clustering techniques.

ST8004 Introduction to Experimental Design

Module Code ST8004 Module Name Introduction to Experimental Design ECTS Weighting[1] 5 ECTS Semester taught Semester 1 Module Coordinator/s   Prof. James Ng  Module Learning Outcomes On successful completion … Read more

STP80090 Foundations of Data Science 2

Module Code STP80090 Module Name Foundations of Data Science 2 ECTS Weighting [1] 5 ECTS Semester taught Semester 1 Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes Module Content Specific … Read more

STP80080 Foundations of Data Science 1

Module Code STP80080 Module Name Foundations of Data Science 1 ECTS Weighting [1] 5 ECTS Semester taught Semester 2 Module Coordinator/s Prof. Simon Wilson Module Learning Outcomes On successful completion … Read more

ST8002 Implementing statistical methods in R

Module Code ST8002 Module Name Implementing statistical methods in R ECTS Weighting[1] 5 ECTS Semester taught Semester 1 Module Coordinator/s   Prof. Mimi Zhang Module Learning Outcomes On successful completion … Read more

STP80110 – Advanced Linear Models 1

(Semester 1; 5 ECTS) This module will cover the theory of linear regression and linear mixed models and their estimation methods, modelling repeated measures overtime; various random effect models, including single random effects, multiple random effects, and random coefficient models; and non-parametric modelling approaches, to include splines and bootstrapping.

STP80120 – Advanced Linear Models 2

(Semester 2; 5 ECTS) This module will cover simple linear regression and multiple regression, with underlying theory; regression model diagnostics and how to resolve problems; Generalised Linear Models (GLMs), to include an overview of GLMs, logistic regression, Poisson regression and ordinal regression.