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UCL (University College London): Financial Technology
Institution | UCL (University College London) View institution profile |
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Department | Computer Science |
Web | https://www.ucl.ac.uk |
Study type | Taught |
MSc
Summary
The financial services sector has changed and is being disrupted by new emerging technologies and brand-new business models. This programme aims to make you an expert in both. Our Financial Technology MSc takes a computer-science-first approach, enabling you to stay ahead of the innovations that are changing the financial services industry.
Level | RQF Level 7 |
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Entry requirements | A minimum of an upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience in a language such as Python, C++ or Matlab is an advantage but is not mandatory. Relevant work experience is also taken into account. Some programming experience means that you have experience of working on projects deploying code or have passed modules/ assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly. A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed. English level: Level 3 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
Summary
The MSc Financial Technology at UCL focuses on developing technology literate financial services professionals. The programme emphasises the systematic understanding of new digital business models in financial services, how innovation through technology is changing business practices, quantitative finance skills and the application of emerging technologies to financial services.
Level | RQF Level 7 |
---|---|
Entry requirements | A minimum of an upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience in a language such as Python, C++ or Matlab is an advantage but is not mandatory. Relevant work experience is also taken into account. Some programming experience means that you have experience of working on projects deploying code or have passed modules/ assessments in your previous education with coding components. If you do not have this knowledge, there will be tutorials offered at the beginning of the programme, but you will be expected to get up to speed rapidly. A self-assessment test will be available to determine if you will need additional support for coding. A good knowledge of linear algebra, statistics and probability theory will be assumed. English level: Level 3 |
Location | London, Bloomsbury Gower Street Camden WC1E 6BT |
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