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Overview
Key facts
As a result, analysts and financial engineers have turned to computational methods and numerical analysis to make sense of the financial data available to them to make investment decisions and manage financial risk.
In London School of Economics and Political Science's Computational Methods in Financial Mathematics hands-on course, you will be introduced to the models and theory necessary to develop your computational skills in the field of financial mathematics. Covering topics such as the Monte Carlo method, stochastic models, the binomial tree model, the theory of risk-neutral pricing, derivative pricing and the interpretation of random variables, you will learn how computational methods can be used to evaluate different financial scenarios.Programme Structure
Courses include:
- Methods for generating samples from a given probability distribution
- Monte Carlo estimation
- Variance reduction techniques
- The binomial asset pricing model and the concept of no-arbitrage
- The Black-Scholes option pricing model as a limit of the binomial model
- Application of Monte Carlo methods to pricing financial derivatives
Key information
Duration
- Full-time
- 33 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
7 ECTS
Delivered
On Campus
Disciplines
Financial Mathematics View 9 other Short Courses in Financial Mathematics in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
This course is suitable if you want to have a grounding in the growing field of computational methods within financial mathematics. You are not expected to have prior programming experience and will be taught how to programme in Python.The course is largely self-contained and reviews the necessary mathematical concepts used during the course. It is especially useful if you are targeting a role in private equity, finance, banking or consulting.
Tuition Fee
To always see correct tuition fees
-
International
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 33 days. -
National
2950 GBP/fullTuition FeeBased on the tuition of 2950 GBP for the full programme during 33 days.
- Student rate: £2,950
- Standard rate: £3,950
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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