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Modern engineering is driven by data. From monitoring the performance of complex systems and validating experimental results to developing predictive models and improving product reliability, engineers increasingly rely on statistical methods to make informed decisions. This module develops the statistical knowledge and analytical skills needed to extract meaningful insights from engineering data.

You will learn how engineers use exploratory data analysis, hypothesis testing and regression techniques to investigate engineering problems and quantify uncertainty. Working with real-world engineering datasets, you will develop practical experience of statistical software while learning how to build, interpret and evaluate statistical models. Throughout the module, emphasis is placed on selecting appropriate analytical methods, understanding the assumptions behind statistical models and communicating data-driven conclusions effectively.

By the end of the module, you will be able to apply statistical modelling techniques confidently to engineering problems, supporting evidence-based decision-making in areas such as product development, experimental research, quality engineering, manufacturing and systems optimisation.

Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It shows how statistical analysis can be used to solve civil and environmental engineering problems, using real-world case studies whenever possible. Exploratory data analysis, hypothesis testing, and regression analysis are main topics covered in this module. The main focus will be on developing regression models. Students will gain hands-on experience in using statistical software.

Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It shows how statistical analysis can be used to solve civil and environmental engineering problems, using real-world case studies whenever possible. Exploratory data analysis, hypothesis testing, and regression analysis are main topics covered in this module. The main focus will be on developing regression models. Students will gain hands-on experience in using statistical software.

GGES3006 Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to broader applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES3006 Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to broader applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES 6018, Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students on the MSc Sustainability and MSc Environmental Science programmes with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to data science applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES 6018, Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students on the MSc Sustainability and MSc Environmental Science programmes with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to data science applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES 6018, Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students on the MSc Sustainability and MSc Environmental Science programmes with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to data science applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES 6018, Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students on the MSc Sustainability and MSc Environmental Science programmes with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to data science applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.

GGES3006 Data Collection & Research Methods for Sustainability and Environmental Science, is a module which aims to equip students with the skills necessary to plan and undertake independent research as part of their studies and later in their chosen careers. Students are introduced to different research methods (quantitative, qualitative and mixed methods), with an initial focus on core quantitative research methods. They are then given the option to either continue learning quantitative research methods or to switch to receiving complementary training in qualitative methods.

In the first part of the module, students receive instruction on the fundamentals of quantitative data analysis. They are provided with relevant examples in Sustainability and Environmental Science and are given an opportunity to practice with these and write a quantitative report which contributes to the assessment of the module. They are also introduced to R programming language, which will be used throughout the module for all quantitative analyses.

The second part of the module focusing on further quantitative methods aims to introduce the students to statistical techniques relevant to broader applications. The alternative option focusing on qualitative methods aims to provide training on key concepts used in qualitative research. Students are also given an opportunity to apply the skills acquired in this part of the module to a project leading to a research report, which will also form part of the assessment of the module.