Coventry University

MSc FinTech

Financial markets are becoming ever more innovative and dynamic, with the growth of financial technology, or Fintech, helping to accelerate that change. Studying this course should help prepare you for a career in Fintech, or provide you with the knowledge needed to operate effectively in other financial sectors being disrupted by technology.

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With a focus on the practical application of theory, this course seeks to develop the skills needed by the modern finance graduate, offering a grounding in financial theories coupled with developing the digital fluency needed to apply them to the rapidly changing finance sector. So, alongside developing and expanding your knowledge in key theories such as asset pricing or corporate governance, the course also focuses on financial technology, big data analytics, and the management of risk in digital environments.

During the course, you’ll have the opportunity to get hands-on training in programming using Python and/or R, big data analytics and data mining, as well as having access to Coventry Business School’s Trading Floor (subject to availability), which utilises market leading databases such as Thomson Reuters Eikon, Bloomberg and Fitch Connect. You’ll also be taught by academics with industry experience, alongside those with research expertise in the world of finance, and have the opportunity to extend your course with professional experience.

Professional experience option

This master's programme provides you with the additional option to apply for a professional experience opportunity during your first semester with us. The professional experience opportunity is designed to further develop your skills and knowledge with the aim of maximising your employability prospects.

Please note that the optional professional experience modules incur an additional tuition fee, which for 1 semester of professional experience is £1,333.33, for 2 semesters of professional experience is £2,666.67, and for 3 semesters of professional experience is £4,000.

Professional experience opportunities are not guaranteed, and while you will be responsible for sourcing any opportunity, you will have the support of our Talent Team in doing so. This is subject to competitive application, availability, meeting any applicable visa requirements and additional costs may apply. Find out more about the professional experience option or use our enquiry forms for UK and for EU/International students to ask any questions.

Entry Requirements

The course is subject to the general University admission procedures and access policies. To be accepted for the course students must possess either an Honours undergraduate degree (minimum of 2:2) in an appropriate business, finance or computing background or appropriate work experience in the financial sector together with relevant professional qualifications.

This course requires IELTS of 6.5 overall, with a minimum of 6.0 in each component or equivalent. Pre-sessional English is available if required.

Career Prospects

Through the development of core financial knowledge, alongside Fintech knowledge and capabilities, this course should prepare you to pursue a career in Fintech, or in finance more broadly, in sectors such as investment banking or financial services. You could find yourself working for a Fintech start-up, or within a large financial institution, applying Fintech techniques to improve processes, services and products.

In addition, due to the nature of finance and its relevance to all organisations, this course could help you to develop knowledge which you can then apply to other business careers, public sectors jobs or to pursuing your own aspirational ambitions.

You will be supported as you look to plan your future career by our Talent Team, who aim to offer personalised support tailored to the sectors that interest you.

Course Details

The MSc FinTech is designed to prepare graduates for exciting potential future careers, in sectors such as investment banking, financial services, and financial technology. It aims to provide a solid grounding in key areas of financial theory, such as derivatives, corporate finance and quantitative methods, before focusing more directly on financial technology, offering an overview to the rapidly growing sector, as well as how to manage risk within it, and how it can be applied in a practical sense to financial firms and their activities.

The course also offers the chance to undertake a practical module on data analytics, Data Analytics using Python/R, which is designed to prepare you for the increasing importance of the skill in the modern financial world. Incorporating programming languages such as Python and/or R, which are focused on data science, the module will allow you to develop your ability to extract, manipulate and evaluate financial data from multiple sources, utilising computing techniques, to draw reasoned and relevant conclusions.

Developing professional skills are also an important part of studying at Coventry University. This course has an embedded module accredited by the Chartered Management Institute (CMI), Global Professional Development – Consultancy, which, upon successful completion, can give you a Level 7 Certificate in Strategic Management and Leadership, as long as you meet the CMI’s evidence requirements. Please see the Accreditation and Professional Recognition section for further details. Alongside this, there are also opportunities to embed professional experience into your course, either through the Project module, which could see you undertake an internship with a host company as part of your project, or through extending your course with the professional experience option.

Please note that any internships within the Project module are subject to availability, a competitive application process and meeting any applicable visa requirements. For more information on the professional experience option please see the Overview tab.

Semesters without professional experience option

Semester 1
Corporate finance
Quantitative methods
Derivatives
Governance, accountability and ethics
Semester 2
Introduction to finTech
Risk management for FinTech
Applied FinTech
Data analytics using python/R
Semester 3
Project
Entrepreneurial practice

Semester with professional experience option

Semester 1
Corporate finance
Quantitative methods
Derivatives
Governance, accountability and ethics
Semester 2
Introduction to finTech
Risk management for FinTech
Applied FinTech
Data analytics using python/R
Semester 3
Professional experience (part 1)
Semester 4
Professional experience (part 2)
Semester 5
Professional experience (part 3)
Semester 6
Project
Entrepreneurial practice

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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