Computational Finance (MSc)

The MSc in Computational Finance will introduce students to the computational methods that are widely used by practitioners and financial institutions in today’s markets. This will provide students with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics, and agent-based modelling. These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency time scales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and crypto-currencies. The programme is highly practical, and students will have the opportunity to apply their learning to real-world data and case studies in hands-on laboratory sessions.

 

  • An understanding of modern financial technology (FinTech) including electronic trading and distributed-ledger technology.
  • Practical hands-on techniques for working with and analysing financial data, which draw on modern developments in Artificial Intelligence and Big Data technology.
  • The opportunity to understand the practical aspects of quantitative finance and FinTech from Industry experts located in the heart of one of the World’s financial centres.

Description

Computational Finance studies problems of optimal investment, risk management and trade execution from a computational perspective. As with any engineering discipline, computational finance analyses a given problem by first building a model for it and then examining the model. In computational finance, however, our model is typically analysed by running computer programs, rather than solving mathematical equations. In addition to standard computational methods such as Monte-Carlo option pricing, you will also learn more advanced modelling techniques such as agent-based modelling, in which the model itself takes the form of a computer program.

The programme will provide a foundation in the core skills required for successful risk management and optimal investment by giving a grounding in the key quantitative methods used in finance, including computer programming, numerical methods, scientific computing, numerical optimisation, and an overview of the financial markets. You can then go on to study more advanced topics, including the market micro-structure of modern electronic exchanges, high-frequency finance, distributed-ledger technology and agent-based modelling.

General entry advice

Bachelors degree with 2:1 honours degree (or international equivalent) in mathematics or mathematics based subject.

Application procedure

Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £50 applies.

Your application will be assessed by an admissions tutor and we aim to reply within six to eight weeks of the date of submission.

Personal statement and supporting information

Please address your mathematical qualifications, any relevant experience and eventual career ambitions in a one page personal statement.

Application closing date

We recommend that you submit your application as soon as possible.  Our first application deadline was the 31st March 2017.  Applications will remain open if places are available and programmes will be closed as soon as they are full.  For programmes with spaces remaining, no further applications will be accepted from non-EU (Overseas) nationals after 30th July 2017 or from UK/ EU nationals after 3rd September 2017. Please note that funding deadlines may be earlier.

    • Full time UK fees: £20, 900 p.a. (2017/18)*
    • Full time overseas fees: £25,950 p.a. (2017/18)*

    *These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

    Please note: Current regulations allow some students to pay UK tuition fees on the basis of their EU citizenship or residency. Until these eligibility criteria are changed, the EU tuition fee will remain the same as the UK tuition fee.

    Deposit                                                   

    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.

    The UK/EU deposit is £500.

    The international deposit is £2,000.

    • If you receive an offer on or before 31st March 2017, payment is due by 30th April 2017.
    • If you receive an offer between 1st April 2017 and 30th June 2017, payment is due within one month of receiving the offer.
    • If you receive an offer between 1st July 2017 and 31st July 2017, payment is due within two weeks of receiving the offer.
    • If you receive an offer on or after 1st August 2017, payment is due within one week of receiving the offer.
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