11311 modules
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ECON6069 2027-28
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 2026-27
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. -
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. -
MANG6549 2027-28
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 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. -
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. -
BIOL2008 2027-28
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. -
BIOL2008 2028-29
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. -
BIOL2008 2029-30
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. -
ECON1011 2027-28
Quantitative Modelling in Economics
The module will provide an opportunity for students to use A-level mathematical skills in studying Economics, Econometrics, Actuarial Science, and Management Sciences throughout their degrees.
Pre-requisite for ECON2041
One of the pre-requisites for MATH3063, MATH3085