Are you keen to learn about the challenges associated with the future of finance and banking, and interested in seeking technology-intensive solutions to the problems that characterise the traditional financial infrastructure?
At present, many Fintech initiatives compete and co-exist with financial institutions. Digitised routines drive the diffusion of advanced analytics in banking and finance. Blockchain technology offers the opportunity to rethink the way we design, use, and embrace financial services.
We offer an inter-disciplinary learning environment with cor...
Are you keen to learn about the challenges associated with the future of finance and banking, and interested in seeking technology-intensive solutions to the problems that characterise the traditional financial infrastructure?<br/><br/>At present, many Fintech initiatives compete and co-exist with financial institutions. Digitised routines drive the diffusion of advanced analytics in banking and finance. Blockchain technology offers the opportunity to rethink the way we design, use, and embrace financial services.<br/><br/>We offer an inter-disciplinary learning environment with core modules in finance, technology, law, coding and data science to deliver state-of the art knowledge and skills.<br/><br/>**Why choose this course?**<br/>- Work directly with industry partners on projects as part of your rounded learning experience<br/><br/><br/>- Connect directly with the financial industry and fintech scene in and surrounding the City of London<br/><br/><br/>- Join us at Bayes, situated right by the square mile and Londons financial district<br/><br/><br/>- Design and develop solutions while collaborating with peers from different areas of knowledge and expertise across programmes<br/><br/><br/>- Prepare for a wide range of careers for Finance – equipped with cutting-edge knowledge on digital finance, regulation and more.<br/><br/><br/>Prior to beginning of this degree, you will be offered access to pre-study modules that focus building on mathematical and statistical skills, and which introduce you to coding in Python.<br/><br/>Youll develop a clear understanding of how modern financial markets function and how to apply quantitative and algorithmic tools to attack systemic problems (for example by using machine learning to aid portfolio construction or by building blockchain-based savings protocols). You also receive skills required by an entrepreneur looking to innovate in finance or banking, including knowledge of the relevant regulatory environment.<br/><br/>The programme is practical and hands-on, but youll also obtain a thorough, research-led, high-level, topical postgraduate training. The fundamental aim of the MSc course is to deliver graduates with both a solid theoretical underpinning and the ability to apply knowledge to practical problems immediately.
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Course Details
Information
Study Mode
Full-time
Duration
1 Years
Start Date
09/2025
Campus
Unknown
Provider Details
Codes/info
Course Code
Unknown
Institution Code
C60
Points of Entry
Unknown
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