Teesside University · Part-time
Financial Technology (FinTech)
FinTech (financial technology) is an evolving technology which provides innovation and efficiency in the financial services. FinTech includes distributed ledger technology also known as the blockchain, big data and business intelligence. You explore topics inc…
MSc2 yearsPart-time
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Computing
FinTech (financial technology) is an evolving technology which provides innovation and efficiency in the financial services. FinTech includes distributed ledger technology also known as the blockchain, big data and business intelligence. You explore topics including fundamentals of software for digital innovation, big data and business intelligence, contemporary financial technology, machine learning, blockchain and cryptocurrency. You develop theoretical, technical and critical thinking skills in applying disruptive innovative technologies to financial services. The Advanced Practice route enhances your qualification by adding a vocational or research-based internship to the one-year master’s programme. A vocational internship is a great way to gain work experience and give your CV a competitive edge. A research internship provides you with the opportunity to develop your analytical, research and academic skills by working alongside our artificial intelligence and machine learning research groups. We guarantee a research internship, but cannot guarantee a vocational internship. However we provide you with practical support and advice on how to find and secure your own vocational internship position. You can expect to find employment in one of the increasing number of sectors needing specialists equipped with the cutting-edge expertise in financial and digital technologies. The course provides you with directly transferable skills for a career in a range of industries in the finance sector, as well as progression opportunities to PhD research. Visit Teesside University’s website to apply to start in September.
Getting in
As the university states it
Normally a 2.2 honours degree, or equivalent, in any subject area. Relevant experience may also be considered. You learn computational methods, data analytics, mathematics for business and basic programming, therefore a first-degree subject with significant analytical or technical elements is ideal (business, management, finance, engineering, life/physical science, computing, IT, computer games, animation, mathematics, technology). For other subjects, you will need to evidence an aptitude for quickly developing basic analytical skills, such as strong GCSEs in maths and science.
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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.