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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
- 19 days
Start dates & application deadlines
- StartingApplication deadline not specified.
More details
- Visit the website for full details.
Language
English
Credits
7 ECTS
- 3-4 credits (US)
- 7.5 ECTS points (EU)
Delivered
On Campus
Campus Location
- London, United Kingdom
Disciplines
Financial Mathematics View 5 other Short Courses in Financial Mathematics in United KingdomWhat students do after studying
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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.
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 Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents4150 GBP / full≈ 4150 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents4150 GBP / full≈ 4150 GBP / full
Additional Details
- One Session - £4,150
- Two sessions - £7,300
- Three sessions - £9,000
Living costs
London
United Kingdom
1137 - 2157 GBP / month
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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