Financial Mathematics BSc (Hons)
Master
In Loughborough
Description
-
Type
Master
-
Location
Loughborough
Overview
Mathematics plays an important role in the financial services industry and there is a growing demand for graduates with knowledge and understanding of both financial matters and the relevant mathematics.
Our Financial Mathematics BSc (Hons) degree provides thorough training in both aspects of financial matters and relevant mathematics. There are a range of modules in economics, finance and mathematics, including specialist modules that deal directly with applications of mathematics in finance.
The BSc Financial Mathematics degree provides a solid grounding in mathematics together with an understanding of economics sufficient to prepare graduates for careers in areas such as actuarial work, business forecasting and economic model building.
Facilities
Location
Start date
Start date
Reviews
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 14 years
Subjects
- Probability
- GCSE Mathematics
- Derivatives
- Financial Training
- Industry
- Systems
- Financial
- Finance
- Financial Mathematics
- Geometry
- Algebra
- Calculus
- Economics
- Mathematics
- Statistics
- Macroeconomics
- Microeconomics
- Corporate Finance
Course programme
What you'll study
Excited to learn more? For a taster of what you can expect to study on our Financial Mathematics BSc (Hons) degree, take a sneak preview of some of the modules you may have the opportunity to study below.
The information below reflects the currently intended course structure and module details. Updates may be made on an annual basis and revised details will be published through Programme Specifications ahead of each academic year. Please see Terms and Conditions of Study for more information.
- Year 1
- Year 2
- Final year
Areas studied include mathematical methods, analysis, linear algebra, probability and statistics, and macro- and micro-economics.
Semester 1
Analysis 1 Core
Analysis 1
An introduction to the notion of convergence as this applies to sequences and series, this module provides a firm basis for future modules in which the idea of convergence is used.
Linear Algebra 1 Core
Linear Algebra 1
The aims of this module are: to introduce basic ideas of vector spaces; to introduce linear transformations and explain their relationship to matrices; to provide the basic methods of linear algebra for other modules throughout all mathematics-based programmes.
Introductory Probability and Statistics Core
Introductory Probability and Statistics
A module to introduce the basic concepts of probability and statistics and illustrate the relevance of these concepts to practical problem solving.
Mathematical Methods 1 Core
Mathematical Methods 1
The aims of this module are to to introduce basic ideas of differential calculus and integration and provide practice in common techniques used in mathematical applications.
Semester 2
Mechanics Core
Mechanics
This module introduces the basic ideas of kinematics and particle dynamics, connecting the mathematics with physical applications.
Analysis 2 Core
Analysis 2
This module introduces the basic analytical theory of functions of one and several variables.
Linear Algebra 2 Core
Linear Algebra 2
Mathematical Methods 2 Core
Mathematical Methods 2
The aims of this module are: to introduce basic ideas of differentiation and integration in several variables and differential equations; to illustrate some of the connections between differential calculus and applications.
Semester 1 & 2
Principles of Macroeconomics Core
Principles of Macroeconomics
The aims of this module are to provide a sound, basic understanding of modern macroeconomics, its historical development and its application to theoretical and real world problems.
Principles of Microeconomics Core
Principles of Microeconomics
The aims of this module are to introduce how microeconomic methods of analysis are used to analyse and evaluate contemporary market systems.
Areas studied include probability theory, mathematical methods, analysis, statistical modelling, stochastic processes, finance, and macro- and micro-economics.
Semester 1
Analysis 3 Core
Analysis 3
The aims of this module are: to give the students some real understanding of mathematical concepts involved in higher dimensional calculus; to prove theorems involving functions in more than one dimension.
Mathematical Methods 3 Core
Mathematical Methods 3
This module provides an introduction to advanced mathematical methods underpinning mathematics-based programme and further practice in common techniques used in mathematical applications. It also introduces Fourier series and Laplace transforms.
Probability Theory Core
Probability Theory
The aims of this module are: to introduce basic concepts and methods of probability theory; to provide the requisite theoretical background for later probability and statistics modules.
Semester 2
Complex Variables Core
Complex Variables
The aim of this module is: to introduce students to the classical results in the theory of analytic functions of a complex variable.
Introduction to Stochastic Processes Core
Introduction to Stochastic Processes
The aims of this module are: to introduce students to stochastic processes;to use them to model some real world problems.
Statistical Modelling Core
Statistical Modelling
The aim of this module is to understand the theoretical and practical application of linear models in statistics, including the issues and approaches associated with model building. These models include the use of quantitative and categorical dependant variables, along with one or more quantitative and categorical predictor variables.
Semester 1 & 2
Intermediate Macroeconomics Core
Intermediate Macroeconomics
Intermediate Microeconomics Core
Intermediate Microeconomics
Introduction to Financial Economics Core
Introduction to Financial Economics
Areas studied include stochastic methods in finance, corporate finance and derivatives and financial economics and asset pricing.
Discrete Stochastic Methods in Finance Core
Discrete Stochastic Methods in Finance
The aims of this module are: to provide students with a rigorous mathematical introduction to the modern financial theory of security markets in discrete time models; to give students a solid theoretical background in the derivatives industry in discrete time models.
Financial Economics and Asset Pricing Core
Financial Economics and Asset Pricing
Graph Theory Optional
Graph Theory
The aims of this module are to: introduce students to modern concepts and methods of combinatorics and graph theory; provide powerful advanced tools to students in probability, number theory, optimal control, algorithmic complexity etc, applicable to modelling of a wide range of phenomena.
Introduction to Differential Geometry Optional
Introduction to Differential Geometry
Introduction to Dynamical Systems Optional
Introduction to Dynamical Systems
Introduces the notions and methods of the theory of dynamical systems with an emphasis on its applications.
Number Theory Optional
Number Theory
The aim of this module is to provide students with fundamental methods involved in number theory and some of its diverse applications.
Operational Research Optional
Operational Research
The aims of this module are to introduce students to the nature of operational research and its techniques and to study linear programming and network optimisation in detail with appropriate modelling techniques.
Rings and Polynomials Optional
Rings and Polynomials
Advanced Differential Equations Optional
Advanced Differential Equations
Advanced Numerical Methods Optional
Advanced Numerical Methods
Analytical Dynamics Optional
Analytical Dynamics
The aims of this module are to introduce students to the basic notions and methods of classical analytical dynamics.
Continuous Stochastic Methods in Finance Core
Continuous Stochastic Methods in Finance
The aims of this module are: to introduce essential mathematics used in the financial industry; to introduce stochastic models to the prices of risky assets; to study option pricing and hedging portfolio in continuous time financial models.
Corporate Finance and Derivatives Core
Corporate Finance and Derivatives
Elements of Topology Optional
Elements of Topology
The aim of this module is to give a grounding in the central ideas of topology, sufficient for the main applications in geometry, analysis and mathematical physics.
Game Theory Optional
Game Theory
An introduction to the rigorous mathematical tools which are useful in economics analysis- to give students a solid mathematical background in game theoretic models.
Mathematical Biology Optional
Mathematical Biology
The aims of this module are: i) To introduce some mathematical models of biological systems and various techniques for analysing them; ii) To enable students to understand how mathematics can be used to model biological systems.
ODEs & Calculus of Variations Optional
ODEs & Calculus of Variations
The aims of this module are to introduce the main ideas and techniques of the qualitative theory of ODEs and the Calculus of Variations, and to apply these ideas and techniques to the study of systems of ODEs and variational problems.
Appropriate level Language module Optional
Appropriate level Language module
Economics of the Financial System Optional
Economics of the Financial System
Programme specification
Module specification
Financial Mathematics BSc (Hons)