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 tech, blockchains, digital currencies, AI, metaverse, and smart banking. Our MSc in Digital Finance and Data Analytics covers traditional financial markets, international financial institutions, AI, machine learning, blockchains, cryptocurrencies, and digital assets. The program delves into 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. Finally, at the end of the course, you'll complete a hands-on consultancy project, giving you a fantastic opportunity to use the theories and knowledge you've gained to produce a meaningful piece of work.
Learn about technology and data-driven financial products and services together with advanced methods from the fields of computer science, mathematics, statistics, econometrics and machine learning. Be highly competitive for various roles in digital finance and FinTech that require a specific set of skills. Acquire in-depth knowledge in Digital Finance and Data Analytics specifically rather than only touching on a broader set of related topics. Gain comprehensive knowledge of basic as well as sophisticated mathematical and statistical tools for big data applications.