Master of Science - Digital Finance and Data Analytics

The finance landscape is rapidly transforming with a focus on digital, code-driven, and data-centric approaches, emphasising technologies like novel payment systems, distributed ledger technology, blockchains, digital currencies, AI, metaverse, and smart banking. The MSc in Digital Finance and Data Analytics covers traditional financial markets, international financial institutions, AI, machine learning, blockchains, cryptocurrencies, and digital assets. The programme covers financial regulation, Fintech sector growth, and enhances skills in coding, big data, and econometrics. The course culminates in a hands-on consultancy project, allowing application of acquired knowledge to real-world financial data. Students will gain an understanding of technology and data-driven financial products and services, supported by advanced methods from computer science, mathematics, statistics, econometrics and machine learning, specialised skills required for roles in digital finance and FinTech, in-depth, specialised knowledge in Digital Finance and Data Analytics, comprehensive knowledge of fundamental and advanced mathematical and statistical tools for big data applications. At NBS students can create a personalised learning experience, giving them a unique Masters degree that equips them with the skills they will need, for the career they want. Each of the modules will be delivered over a four week period, with teaching delivered in three weeks and the fourth week left clear for assessment work. This enables them to focus on one subject at a time, whilst allowing time for preparation and assessment work.