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Financial Mathematics

(MSc) Financial Mathematics

Entry for 2024

Outline
Module information

FHEQ level

This course is set at Level 7 (Masters) in the national Framework for Higher Education Qualifications.

Course learning outcomes

A. Knowledge and understanding: Students graduating from this programme will have an in depth understanding of the following areas of knowledge; A1: Interest rate theory

A2: Portfolio evaluation.

A3: Black-Scholes model and numerical methods.

A4: Probability stochastic modelling.

A5: Computing.

A6: GARCH Model.

B. Intellectual skills: Students graduating from this programme will command a number of intellectual skills. These include: B1: Numerical and mathematical treatment of financial problems.

B2: Programming skills.

C. Practical skills: Students graduating from this programme will have developed a range of practical skills. These include: C1: Interpreting financial trends and financial reports.

C2: Evaluating a concrete investment plan.

C3: Solving concrete finance problems using maths and programming skills.

D. Transferable skills: Students graduating from this programme will have developed a range of transferable skills. These include: D1: Write a financial report using mathematical insight.

D2: Use plain language to interpret the solutions of mathematical models describing financial problems.

D3: Use graphs and charts to explain and communicate mathematical and numerical results.

Full-time course composition

Year	Term	Status	Module	Credits	FHEQ level
1	Autumn Semester	Core	Computing for Data Analytics and Finance (L7) (854G1)	15	7
		Core	Corporate Finance (831L1)	15	7
		Core	Financial Mathematics (L.7) (G5078)	15	7
		Option	Advanced Numerical Analysis (L.7) (852G1)	15	7
			Linear Statistical Models (L7) (971G1)	15	7
			Partial Differential Equations (G1114)	15	6
			Probability Models (L7) (973G1)	15	7
			Programming through Python (823G5)	15	7
	Spring Semester	Core	Financial and Time Series Econometrics (821L1)	15	7
		Core	Financial Portfolio Analysis (849G1)	15	7
		Core	Mathematical Models in Finance and Industry (832G1)	15	7
		Option	Dynamical Systems (L6) (G5126)	15	6
			Financial Invest & Corp Risk Analysis (861G1)	15	7
			Machine Learning and Statistics for Health (L7) (974G1)	15	7
			Monte Carlo Simulations (L7) (865G1)	15	7
			Numerical Solution of Partial Differential Equations (L.7) (845G1)	15	7
			Random processes (L.7) (862G1)	15	7
			Statistical Inference (L.7) (867G1)	15	7

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

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Department of Mathematics