8588 modules
Page 680
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GGES1001 2026-27
Quantitative Methods
You will be introduced to a number of key statistical concepts and data presentation formats. Beginning with exposure to a variety of data types defining the nature and properties of data you are likely to encounter. Emphasis is placed on distinguishing between population parameters and sample statistics and exploring the nature of distributions. Aided via the introduction of R Studio, a dedicated statistical software, you will become familiar with the concept of central tendency and the measurement of variation, and how these may be presented graphically. Emphasis is placed on information transfer to aid presentations, essays, reports and dissertation.
A significant portion of the unit is given to developing your understanding of a variety of common statistical procedures including establishing the presence and strength of a relationships and standard approaches for determining if significant differences exist between groups within a variety of experimental designs. Central to this is the concept of hypotheses testing. -
ECON6069 2029-30
Quantitative Methods
Assessment in the module takes the form of an online software skills test (worth 10% of the final mark) and a final written exam (worth 90%). -
GGES1001 2025-26
Quantitative Methods
You will be introduced to a number of key statistical concepts and data presentation formats. Beginning with exposure to a variety of data types defining the nature and properties of data you are likely to encounter. Emphasis is placed on distinguishing between population parameters and sample statistics and exploring the nature of distributions. Aided via the introduction of R Studio, a dedicated statistical software, you will become familiar with the concept of central tendency and the measurement of variation, and how these may be presented graphically. Emphasis is placed on information transfer to aid presentations, essays, reports and dissertation.
A significant portion of the unit is given to developing your understanding of a variety of common statistical procedures including establishing the presence and strength of a relationships and standard approaches for determining if significant differences exist between groups within a variety of experimental designs. Central to this is the concept of hypotheses testing. -
ECON6069 2025-26
Quantitative Methods
Assessment in the module takes the form of an online software skills test (worth 10% of the final mark) and a final written exam (worth 90%). -
MANG6003 2025-26
Quantitative Methods
MANG6003 aims to develop statistical reasoning. Via a series of examples and activities, students are introduced to the idea of probability modelling and how it can be applied to aid decision making in uncertain situations, which are frequently encountered in organisations. On successful completion of this module, students should be able to collect relevant data and summarise the main features of an uncertain situation, to identify standard problems and analyse them with the correct statistical tools, to process and analyse data in a statistical computer package, to understand the risks involved in a decision which involves uncertainty, and quantify such risks. Students should also develop problem solving skills, modelling skills, become familiar with a standard statistical computer package (SPSS), and be able to interpret and critically evaluate statistical results. -
ECON6069 2026-27
Quantitative Methods
Assessment in the module takes the form of an online software skills test (worth 10% of the final mark) and a final written exam (worth 90%). -
ECON6069 2028-29
Quantitative Methods
Assessment in the module takes the form of an online software skills test (worth 10% of the final mark) and a final written exam (worth 90%). -
MANG6549 2026-27
Quantitative Methods for Risk Management
The module introduces some widely used quantitative approaches for characterizing uncertainty and risks in finance and management problems. The aim of the module is to introduce a number of widely used techniques for uncertainty and risk management and provide an understanding of how they can be used in practice. -
MANG6549 2025-26
Quantitative Methods for Risk Management
The module introduces some widely used quantitative approaches for characterizing uncertainty and risks in finance and management problems. The aim of the module is to introduce a number of widely used techniques for uncertainty and risk management and provide an understanding of how they can be used in practice. -
BIOL2008 2026-27
Quantitative Methods in Biological and Environmental Science
This module develops analytical skills required for the final year Honours Project, scientific research in general, and your future career. The major skills are computer literacy and graphical presentation, understanding of scientific method and hypothesis testing, a few simple mathematical concepts, and basic methods of statistical analysis, including non-parametric tests, analysis of variance and data modelling.