Financial Analytics
Mathematical Sciences
Taught
MSc
Financial Analytics
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £12,400 | N/A |
| Northern Ireland | £12,400 | N/A |
| Scotland | £12,400 | N/A |
| Wales | £12,400 | N/A |
| EU | £21,000 | N/A |
| International | £21,000 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
Modules is currently unavailable
Please check back later for updates.
About
Program Overview
The MSc Financial Analytics is a specialized, technical-driven program aimed at developing skills to analyze data and solve business challenges in the finance industry.
Target Audience
This program is ideal for individuals seeking to advance their careers in finance and investments, including roles such as:
- Data Specialist
- Consultant
- Portfolio Manager
It also caters to those interested in pursuing further research in finance through a PhD.
Admission Requirements
Applicants should possess an undergraduate degree or equivalent in a quantitative field. No prior knowledge of computer science or programming is required.
Key...
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.
Similar courses
Contact
Enhance your academic journey with the help from our experts.
Contact
Enhance your academic journey with the help from our experts.