Financial Engineering
Mathematical Sciences
Taught
MSc
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £16,810 | N/A |
| Northern Ireland | £16,810 | N/A |
| Scotland | £16,810 | N/A |
| Wales | £16,810 | N/A |
| Channel Islands | £16,810 | N/A |
| Republic of Ireland | £16,810 | N/A |
| EU | £33,700 | N/A |
| International | £33,700 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
Modules is currently unavailable
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About
This course is a collaborative effort between the Department of Mathematics and the Department of Economics and Related Studies, designed for candidates interested in applied mathematics and its applications in finance.
Course Objectives
The program aims to provide students with:
- A rigorous study of applied and computational mathematics
- Knowledge in econometrics
- Skills in quantitative finance
Career Opportunities
Graduates with an MSc degree in financial engineering can pursue various career paths, including:
- Quantitative finance roles in the City and financial institutions
- Positions in fund management
- Careers in insurance
- Opportunities
Subject Area Information
Financial mathematics is a specialized field that combines mathematical theories and methods with financial practice to solve problems in finance. This discipline is essential for understanding and modeling financial markets, managing financial risks, and making informed investment decisions.
1. Introduction to Financial Mathematics
2. Probability and Statistics for Finance
3. Derivatives and Risk Management
4. Fixed Income Securities
5. Portfolio Theory and Asset Pricing
6. Numerical Methods in Finance
7. Financial Econometrics
8. Advanced Topics in Financial Mathematics
- Understanding fundamental financial concepts
- Calculating present and future values
- Analyzing financial data
- Modeling uncertainty
- Valuing derivative securities
- Designing hedging strategies
- Valuing fixed income securities
- Constructing optimal portfolios
- Implementing numerical algorithms
- Analyzing financial time series data
- Understanding complex financial instruments
- Proficiency in programming languages such as Python, R, or MATLAB
Career
Graduates of financial mathematics programs can pursue a variety of careers in the finance industry, leveraging their strong foundation in mathematics, finance, and computational techniques.
Quantitative Analyst (Quant)
Developing and implementing complex financial models to support trading and risk management.
Risk Manager
Identifying and mitigating financial risks for banks, investment firms, and corporations.
Financial Engineer
Designing new financial products and strategies using advanced mathematical techniques.
Investment Analyst
Analyzing financial data to make investment recommendations.
Actuary
Assessing financial risks in the insurance and pension industries.
Data Scientist
Applying statistical and computational methods to analyze financial data and inform business decisions.
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