(A) Taught Modules (60 ECTS)
Core Modules
Students take all of these core modules totaling 40 ECTS
STP80021 – Statistics and Sustainability Group Projects
(Semester 2; 5 ECTS) In this module, students combine statistics and sustainability knowledge to work on multiple group projects.
HCI10A – Sustainable Green Organisations
(Semester 1; 5 ECTS) This module introduces students to a sociotechnical systems model of sustainable organisations, contextualising the organisations role between individual decision making, the services, infrastructure and policies in the society and the physical infrastructure and technological environment.
GG1000 – GIS: Geographic Information Systems
(Semester 1; 5 ECTS) This module aims to enable students to gain an understanding of what GIS is and how it can be used to gain insights into many different environmental problems.
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.
STP80020 – Foundation of Statistics
Module CodeSTP80020Module NameFoundations of StatisticsECTS Weighting10 ECTSSemester taughtSemester 1Module Coordinator/s Dr. James Ng Module Learning Outcomes Module Content Teaching and learning Methods Lectures, laboratories and tutorials hours: 44. Additional self-studied…
CS7CS6 – Research and Innovation Methods
(Semester 1, 5 ECTS) Locate, obtain and critique relevant knowledge and evidence to support innovation and research
Group 1 Elective Modules
Students must select a minimum of 5 ECTS & a maximum of 15 ECTS from this list
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,…
(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.
(Semester 1 & 2, 10 ECTS) To understand the theory and be able to apply the following techniques
to a set of data.
(Semester 2, 5 ECTS) This module continues on from CS7CS4 (Machine Learning) with a focus on sampling methods and topical applications.
Group 2 Elective Modules
Students must select a minimum of 5 ECTS & a maximum of 15 ECTS from this list
CEP55E03 – Air Pollution: Monitoring, Assessment and Control
(Semester 1; 5 ECTS) This module aims to enable students to gain an understanding of the theory and practice of Environmental Engineering in relation to air pollution.
(Semester 1; 5 ECTS) This module covers the following topics: data, four stage transport modelling, discrete choice modelling, activity based models, transport and land use planning and public transport planning.
(Semester 2; 5 ECTS) This module will include; Introduction to Intelligent Transportation System, Training of VISSIM, Traffic Data Analysis and Modelling, Incident Management Scheme Design and Traffic Forecasting.
(Semester 1; 5 ECTS) This module aims to develop an in-depth knowledge of key components of energy policy such as: The broad area of energy policy – including its development and implementation, Building physics and energy engineering controls and systems in buildings, and Topics in energy economics, policy, embodied energy and lifecycle analysis and energy markets.
(Semester 2; 5 ECTS) This module will explore how human activity can positively and negatively affect global biodiversity and the value of biodiversity to humans.
(Semester 2; 5 ECTS) This module covers the scientific basis necessary to understand environmental and climate change through Earth history.
(Semester 2; 5 ECTS) This module provides a methodology to quantify the environmental impacts of a product or a system, informing design decisions and trade-offs to deliver sustainable products and services.
This module introduces students to the framework and methods used in real life problems related to the field of spatial analysis by applying the theoretical knowledge gathered during the module to live project work
(Semester 2; 5 ECTS) This module introduces students to environmental policy making and implementation through lectures, expert and practitioner-led workshops, set readings and research activities
(B) Dissertation(30 ECTS)
STP80099 – Dissertation
(Semester 1,2 and Summer; 30 ECTS) The dissertation will entail students develop a piece of original research through a grounded and prolonged engagement with a research question related to quantitative approaches to sustainability.