A 2.2 Honours BSc or above (or a suitable qualification) in a relevant mathematical discipline.
Months of entry
Aims of the programme
This masters level programme is designed to provide you with training in how to use mathematical tools to tackle problems in finance and business. You will have the opportunity to learn a suite of analytical and numerical quantitative methods and develop an understanding of how these can be applied to financial markets, econometrics and risk analysis.
Mathematics is central to the sciences, and to the development of a prosperous, modern society. The demand for people with mathematical qualifications is considerable, and a degree in mathematics is a highly marketable asset. Mathematics graduates are consistently amongst those attracting the highest graduate salaries and can choose from an ever widening range of careers in research, industry, science, engineering, commerce, finance and education. This course has the added benefit of specific training in mathematics for the financial sector in which salaries are high and career prospects excellent for well-qualified graduates.
Semester 1 (80 credits C Compulsory; A - Advisory):
- Dynamical Systems (15 credits C)
- Computational Modelling (15 credits A)
- Stochastic Processes (15 credits C)
- Global Financial Markets (20 credits C)
- Econometrics for Finance (15 credits + 5 sem 2 credits A)
Semester 2 (75 credits C - Compulsory):
- Inverse Problems (15 credits A)
- Optimization in Finance and Energy (15 credits C)
- Derivatives & Risk Management (20 credits C)
- Global Risk Analysis (20 credits A)
- Econometrics for Finance (5 credits A)
Two optional modules:
- AC50001 Introduction to Data Mining and Machine Learning
- AC50002 Programming Languages for Data Engineering
[Both of these offer 20 Credits and span Semesters 1 and 2.]
Semester 3 (25 credits Compulsory):
- Project: EITHER Review-based analysis of applications of mathematics to the financial sector OR a report based on work experience gained in the financial sector, preferentially during the Semester 3 period.
Qualification and course duration
Course contact details
- Professor Gunnar Hornig
- +44 (0)1382 388315