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
- 19 days
Start dates & application deadlines
- StartingApply anytime.
- We have no fixed deadlines and you can apply for any course up until the point it is filled. We suggest you apply as early as possible.
Language
Credits
Delivered
Disciplines
Financial Mathematics View 8 other Short Courses in Financial Mathematics in United KingdomWhat students do after studying
Academic 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
-
International
3950 GBP/fullTuition FeeBased on the tuition of 3950 GBP for the full programme during 19 days. -
National
3950 GBP/fullTuition FeeBased on the tuition of 3950 GBP for the full programme during 19 days.
- Student rate: £2,950
- Standard rate: £3,950
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.