Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time
2 years part-time
Our MSc degree in Data Science (FinTech) is designed to provide you with an endorsed qualification in the specialist area of Data Science with Financial Technology.
You will gain a solid grounding in Data Science coupled with a concrete introduction to Financial Technology, arming you with the knowledge vital for employment in the FinTech space, where expertise in Data Science and AI is in extremely high demand.
Data Science and AI are at the core of modern Finance, with Financial Technology being its driving force. There is a growing, uninterrupted demand for specialists with the technical and practical skills to design, architect, and engineer systems and models for use in areas including Investment Analysis, Algorithmic Trading, Risk Management, Decentralised Payment Systems, Fraud Detection, and Anti-Money Laundering, to name a few. Skills in Blockchain Design are furthermore critical with the growth in Stablecoin and Central Bank Digital Currency technologies.
An undergraduate (honours) degree at 2:2, or above, in Computing, Computer Science, AI, Data Science, Mathematics, Physics, Engineering, Statistics, IT or a relevant STEM subject.
Applicants without a degree that have substantial commercial/industrial experience including software development using modern programming languages and design may be considered.
Applicants with a degree in another discipline should consider MSc Data Science and its Applications, a specialist course designed for applicants from any degree background.
Graduates from this Computer Science course are equipped for employment in industry, commerce or research with a proficiency in the key theoretical and practical areas of data science, including their application to modern financial technologies and artificial intelligence systems.
Our Employability and Careers services provides support and help the students to achieve their potential and support their transition towards a rewarding graduate career, including CV clinics, mock interviews, and employability skills workshops.
Core Modules:
MSc Project (60 credits)
Big Data (15 credits)
Data Visualisation (15 credits)
Blockchain for FinTech Applications (15 credits)
Technologies for Anti-Money Laundering and Financial Crime (15 credits)
Programming Fundamentals for Data Science (15 credits)
Ethics in Data Science (15 credits)
Financial Machine Learning (15 credits)
Essential Professional and Academic Skills for Masters Students
Statistical Methods for Time Series Analysis (15 credits)
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