Financial Technology

Entry requirements

You will typically need an upper second-class honours degree (60% or higher) or an international equivalent in:

Computing (including Computer Science and Data Science); Economics; Engineering; Finance; Mathematics or Physics.

OR

If your degree subject is not listed above, you must have evidence of an upper second-class honours degree (60% or higher) which includes three different units of mathematics (see Maths qualification requirements) with 60% or above (or international equivalent) in each unit.

If you are currently completing a degree, we understand that your final grade may be higher than the interim grades or module/unit grades you have achieved during your studies to date.

We will consider your application if your interim grades are currently slightly lower than the programme's entry requirements and may make you an aspirational offer. This offer would be at the standard level, so you would need to achieve the standard entry requirements by the end of your degree. Specific module requirements would still apply.

We will also consider your application if your grades are slightly lower than the programme's entry requirements, if you have at least one of the following:

• evidence of significant (minimum of two years in a paid role) relevant work experience in sectors such as Finance, Accounting, Economics, Investment.
• a postgraduate qualification or professional qualification (eg CFA, FRM, ACCA).

If this is the case, please include your CV (curriculum vitae / résumé) when you apply, showing details of your relevant qualifications. Specific module requirements would still apply, which can be met in either the undergraduate or postgraduate qualification.

See international equivalent qualifications on the International Office website.

Months of entry

September

Course content

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 MSc Financial technology offers the opportunity to closely work with industry partners through undertaking applied projects. 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.

Information for international students

See international equivalent qualifications on the International Office website.

Fees and funding

Further information on funding for prospective UK and international postgraduate students.