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.

Mathematics 1A is an introductory mathematics module.

It covers fundamental concepts such as algebra, calculus, and geometry.

The topics covered provide a solid foundation for more advanced studies. Skills covered include:

• learning to solve equations
• understand functions
• analyse graphs

Algebra involves manipulating expressions and solving equations.

Calculus focuses on change and motion, with methods to analyse rates of change and calculate areas under curves.

This module provides a refresh of the maths taught at high school. This will give you the best chance of success with university mathematics.

Mathematics 1B builds on the foundational concepts introduced in Mathematics 1A. You will be introduced to matrices. You will learn about the use of vectors in 3D geometry, integral calculus, and basic differential equations. It ensures you are well-prepared for future studies in a maths or other numerate degree courses.

This module provides an introduction to logic, proof, group theory, and number theory. Proofs are arguments that show that a mathematical statement is true. Number theory is an area of maths where we restrict the numbers used to whole numbers only. Logic underpins proof, and group theory studies algebraic structures.

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.

Starting university is a big step and we’re here to help you make the most of it.

No matter what subject you’re studying, there are important life and study skills that will help you succeed now and in the future.

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.

You will learn about a key structure called a vector space.

Some of the simplest vector spaces are subsets of the 3-dimensional space in which we live. There are many other sets that share this structure.

You will learn more about solving differential equations.

Previously seen concepts such as linear independence, basis and null spaces are explored. This will be in the context of matrix algebra.

Concepts such as determinants and eigenvalues will be introduced.

Learn about partial derivatives and their properties.

Study integration of multi-variable functions including techniques such as change of variables.

You will learn to use data from a sample of a population to deduce information about the average properties of the whole population.

You will also learn how to use the software package RStudio to do calculations with data.

Now that you’ve settled into university life, it’s time to build on the foundations you set in your first year.

This second-year module is all about helping you take your development to the next level. This will cover this from a personal, academic, and professional perspective.

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.

This module explores an area of calculus involving derivatives of functions. Derivatives give the rate of change of a function. For example, speed is the rate of change of distance, while acceleration is the rate of change of speed. Differential equations are equations that involve functions and their derivatives.

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.

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.

The module will explore the quantitative theory of financial pricing and risk management of financial derivatives, such as options and futures.

You will learn about the concepts, mechanics, and practical applications of options and futures, including their valuation, risk mitigation, and trading strategies.

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 provides an introduction to game theory and its applications to economics.

The basics of strategic thinking, such as ideas of dominance and Nash equilibrium, are discussed.

Afterward, the theory is applied to different games studied by economists. The theoretical predictions are confronted with the laboratory experiment results.

You will independently study a specific mathematical topic. This will allow you to become a logical problem solver. These skills are highly sought after in a wide range of industries.

Derivatives give the rate of change of a function. If functions have more than one input variable then this gives partial derivatives. Partial differential equations (PDEs) are equations involving partial derivative terms. In this module, you will be given a broad introduction to PDEs.

Mathematical Statistics is the application of probability theory to statistics. This is an important area, providing useful connections to other areas of Mathematics. Mathematical Statistics has applications across the sciences, business, government, and more. It is a core topic in the growing area of Data Science.