Teaching and assessment for Mathematics and Financial Economics BSc (Hons)

Learn how humans have shaped the economic world from our origins through to Industrialisation and now how technology is used.

Exchange, trade and internationalisation have all influenced how our lives and economic markets operate. By understanding the past of economics you will better understand the complexities of modern day economics.

This module introduces you to statistics and probability. Statistics is the science of collecting, analysing, and interpreting data, and is used to draw conclusions from data. Probability is the study of chance and randomness which can be used to predict the likelihood of an event occurring.

Macroeconomic decisions are made every day that impact our lives, you will learn more about these Policies and how governments make their decisions.

Using Econland, an economic simulation game, you will have the chance to make the Macroeconomic decisions and learn how the theories work in practise.

This module will provide work experience alongside university study to further enhance employability and help you plan for your future.

It will suit students who can bring a professional attitude to their internship and are keen to take practical steps towards developing transferable skills for their future.

This module explores vector calculus, which is an area of mathematics that combines 3D geometry with calculus. Vector calculus is concerned with differentiation and integration of functions in 3D space. It can apply to either scalar-valued functions or vector-valued functions.

Using analytic tools and macroeconomic models you will learn how behaviours change based on short or long term decision making.

With these assumptions you will then explore government policy and understand the impact when assumptions are not correct.

The module provides an introduction to the estimation, interpretation and use of bivariate regression models in applied economics.

By the end of the module you should have a sound understanding of the principles of statistical inference and the practical skills to estimate simple economic relationships in a competent manner.

The module considers a range of applied econometric topics, building on the introductory Principles of Econometrics (BU31002) module.

You will learn about econometric principles and the practical skills to specify and estimate multivariate economic relationships.

This module examines analysis, which is an area of pure mathematics forming the foundation for other areas of maths. The concept of convergence is also covered, which forms part of the framework used by computers to solve complicated equations for mathematical models in physics, biology, and economics.

Scientific computing offers tools, techniques, and theories that enable computer-assisted solutions to complex problems.

This introductory module explores numerical linear algebra and how computations work in practice. You will use MATLAB to develop algorithms for the numerical solution of important scientific problems.

You will explore pricing theories and models that determine the appropriate prices or values of assets.

This module gives insight into how investors perceive and evaluate various investment opportunities.

This module explores calculus, specifically to find derivatives of functions. Ordinary Differential Equations (ODEs) are equations involving derivative terms.

Very few ODEs can be solved exactly, so methods have been developed to find approximate solutions. In this module, you will learn the basic numerical methods for calculating these approximate solutions.

Graph theory is an area of pure mathematics that can be applied to networks and structures.

This module will introduce you to the key properties of graphs and allow you to use theory of graphs to solve real-world problems.