Overview
The rising sophistication of the financial sector is bringing a great demand for experts with skills across mathematics, finance, statistics and computer science.
The Computational Finance MSc produces talented quantitative analysts or ‘quants’ in these areas, in just one year.
As a University College London (UCL) student on the Computational Finance MSc, you will learn advanced quantitative, modelling and programming skills, which are essential for quant roles in trading, research, regulation, and risk. This applied taught postgraduate programme is distinctive in that it provides a combination of finance, mathematics, statistics, and computer science.
Computational finance is at the intersection of mathematics, statistics, computer science, finance and economics. Elevating your skills in these disciplines is essential if you want to make your mark as a quant in a large bank, hedge fund or financial regulator, or in the world of fintech and innovative start-ups.
You will learn from our world-leading experts in this field. The syllabus is constantly reviewed to stay ahead of the trends; core modules span financial engineering and numerical methods for finance, to data science and machine learning for finance.
Employability
- In a programme that embraces mathematics, statistics, finance and computer science in equal measure, you can expect to acquire a combination of highly sought-after skills currently needed in the financial industry.
- You will graduate with advanced quantitative, modelling and programming skills, which are essential for ‘quant’ roles in trading, asset allocation, risk management, fintech, regulation and research.
Programme Structure
Courses included:
- Market Microstructure
- Algorithmic Trading
- Financial Market Modelling and Analysis
- Financial Institutions and Markets
- Numerical Optimisation
- Advanced Machine Learning in Finance
- Blockchain Technologies
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , International
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Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Finance Financial Mathematics View 683 other Masters in Finance in United KingdomWhat students do after studying
Academic requirements
English requirements
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard) in a relevant discipline with a strong quantitative component evidenced by good performance in mathematics and statistics examinations.
- Good performance is defined as scores in these subjects not falling below a UK upper second-class or international equivalent level.
- There is not an exhaustive list of relevant disciplines, but individuals with a background in mathematics, statistics, physics, computer science, engineering, economics, or finance are encouraged to apply.
- The English language level for this programme is: Level 2
- This programme is suitable for international students on a Student visa – study must be full-time, face-to-face, starting September.
Tuition Fees
-
International Applies to you
Applies to youNon-residents47100 GBP / year≈ 47100 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents33000 GBP / year≈ 33000 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Computational Finance.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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