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UCL (University College London): Computational Finance
Institution | UCL (University College London) View institution profile |
---|---|
Department | Computer Science |
Web | https://www.ucl.ac.uk |
Study type | Taught |
MSc
Summary
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. This fast-paced and innovative programme is taught at UCL Computer Science, a renowned centre of academic excellence, with world-class credentials in computational statistics and machine learning.
Level | RQF Level 7 |
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Entry 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. English level: Level 2 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
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. This fast-paced and innovative programme is taught at UCL Computer Science, a renowned centre of academic excellence, with world-class credentials in computational statistics and machine learning.
Level | RQF Level 7 |
---|---|
Entry 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. English level: Level 2 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
The Computational Finance MSc at UCL provides students with advanced knowledge of computational methods in finance, which is a prerequisite for a successful career in the financial industry within 'quant' teams. Quants (quantitative analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers.
Level | RQF Level 7 |
---|---|
Entry 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. English level: Level 2 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
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