This Computational Finance MSc from King's College London 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 cryptocurrencies. The course 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.
- 6th in the UK for Computer Science (QS World Rankings by subject 2020).
- Research lies at the heart of our department - 92% of research outputs ranked as world leading or internationally excellent in Computer Science (REF 2014).
- Friendly and supportive learning environment, with students from across the globe.
- Located in central London, you will have easy access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).
- The Careers Service run tailored sessions for Informatics students and a careers programme which includes skills sessions and visits from top employers.
- Some graduates work in cyber security companies, general software consultancy companies, specialised software development businesses and the IT departments of large institutions (financial, telecommunications, and public sector). Recent employers include Hang Seng Bank, Lloyds Banking Group and Merrill Corporation.
- Other graduates have entered into the field of academic and industrial research in areas such as machine learning, software engineering, algorithms and computer networks.
Get more detailsVisit official programme website
- Individual Project
- Scientific Computing for Finance
- Quantitative Methods in Finance
- Industry-Expert Lectures in Finance
- Agent Based Modelling in Finance
- High-Frequency Finance
- 12 months
Start dates & application deadlines
- Apply before
DisciplinesFinance Computer Sciences Artificial Intelligence View 844 other Masters in Finance in United Kingdom
- A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects).
- A personal statement of up to 4,000 characters (maximum 2 pages) is required.
- A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained.
- One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you.
- Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application.
International31350 GBP/yearTuition FeeBased on the tuition of 31350 GBP per year during 12 months.
National31350 GBP/yearTuition FeeBased on the tuition of 31350 GBP per year during 12 months.
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
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