MSc Financial Technology
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
The MSc in Financial Technology will provide you with a comprehensive grounding in the various analytical methods of financial technology, or 'fintech', as well as knowledge of how these methods are utilised in practice in financial markets. The content will combine finance theory with extensive applications through to practical issues using real-world data. The programme includes units addressing the latest technological developments that have transformed many aspects of the finance industry such as big data, artificial intelligence, machine learning, process automation, cryptocurrencies and blockchain, alongside units that cover the underpinning theory and practice of finance.
Artificial intelligence and machine learning are reshaping the financial services sector and are being used across a range of applications including trading, portfolio construction and evaluation, risk management, financial intermediation and corporate finance. You will gain a broad, high-level overview of the impact that technology is having in reshaping many aspects of financial services. You will also develop specific practical skills in programming, statistical analysis and financial modelling, which will enable you to apply these technological innovations in a variety of contexts. This may include algorithmic trading, robo-advising, peer-to-peer lending, mobile payments, crowdfunding and digital currencies.
The teaching will be research-led and undertaken by subject experts, involving a mixture of lectures and weekly small-group tutorials as well as computer lab-based sessions for the completion of data-based case studies and applications. Industry-relevant skills are embedded in the units throughout the programme, which is practical in nature without compromising academic rigour.
