Why computational finance




















If we are able to offer you a place, you will be contacted via email. Home to 15, students from more than countries, our Colchester Campus is the largest of our three sites, making us one of the most internationally diverse campuses on the planet - we like to think of ourselves as the world in one place.

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The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees.

Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications.

Want to quiz us about your course? Got a question that just needs answering? General - enquiries essex. Welcome to Essex Before you arrive Information for families International students. I'm looking for Select Level Undergraduate Postgraduate. Unable to find any suggestions for your query Prefer to see our subject areas?

Browse courses by subject. Looking for funded postgraduate opportunities? View doctoral training partnerships Browse postgraduate research opportunities. We are different and we are the same. Read our stories. Looking for student or staff information? Student Directory Staff Directory. Courses Select Level Undergraduate Postgraduate. MSc Computational Finance. Start date October Study mode Full Time Part Time.

Ask a question Get a prospectus. Overview Entry requirements Structure Fees and funding What's next? Though not foolproof, algorithmic financial computation has been approved for widespread use in large-scale investment trading, algorithmic stock trading, quantitative investing, and algorithmic investment management at some firms.

Finance itself is one of the most highly competitive job sectors in the United States. Because this particular field is so involved with both finances and advanced computing, most applicants have typically studied either computer science or finance at the undergraduate level.

The most qualified applicants, and the ones most likely to get the job, usually have a dual Master of Science degrees in finance and computer science.

Pedigree counts, too. Many of the largest finance firms look for computer and computational professionals from Ivy League schools or those that rank in the top 20 finance programs on a nationwide or worldwide basis. When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place.

The deposit will be credited towards your total fee payment. Please note, this will not change the total fees payable for your chosen programme. Please visit our web pages on fees and funding for more information.

In addition to your tuition costs, you can also expect to pay for:. We recommend that you submit your application as soon as possible as we may need to request further information from you to assess your application. King's College London is committed to the recruitment of students with the greatest academic ability and to maintain a diverse student population. In order to ensure a balanced international student population for our most competitive programmes, we have implemented the following deadlines:.

Chat with current students and King's staff to find out about the courses we offer, life at King's and ask any questions you may have. Skip to main content Computational Finance MSc. Course essentials.

Base campuses. Regulating bodies King's is regulated by the Office for Students. Teaching methods - what to expect Lectures. Independent Study. Preparation for examinations. Master in Computational Finance is a degree program that exposes students to programming, mathematical and statistical tools that are applied in the contemporary world for analyzing and financial data modeling. The skills learned enable expert application of the above tools in measuring risks, structuring of optimal portfolios and modeling asset returns using various programming languages as well as Microsoft Excel.

The many probability representations of asset returns in application of statistical procedures in evaluation are applicable where the returns distributions are normal. The Masters degree exposes students to quality ways of coming up with effective portfolios and optimized methods. The syllabus entails various topics. Among them include computing assets returns, understanding bi-variate distributions, risk budgeting, portfolio theories and the single index model among other relevant topics.

The learned skills in the Master in Computational Finance are applicable in quant trading, algorithmic trading, high performance trading as well as high frequency trading. The required basis is the basic calculus and relevant programming knowledge.



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