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MSc Financial Technology

Different course options

Full time | Clifton Campus | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Management

Course Summary

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 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 are practical in nature without compromising academic rigour.

Modules

Algorithnic Trading (10 Credits) - Core
Dissertation (60 Credits) - Core
AI, Blockchain Technology and Applications (20 Credits) - Core
Empirical Finance for Financial Technology (20 Credits) - Core
Finance (20 Credits) - Core
Financial Technology (15 Credits) - Core
Quantitative Methods, Big Data and Machine Learning (20 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£19,500

International fees
Course fees for EU and international students

For this course (per year)

£39,000

Entry requirements

Good first degree in a relevant subject