About Dr Zsofia Kraussl

Dr Zsofia Kraussl is a Senior Lecturer in Finance and Technology at Bayes Business School, City St George’s, University of London. She obtained her PhD in information systems management and requirements engineering from the Free University Amsterdam in 2011. Her research focuses on innovation and digital transformation in finance, with an emphasis on valuation fundamentals and the socio‑economic effects of data as an emerging asset class. Her academic career has fostered an interest in researching higher education – with a focus on curriculum design, accessing and analysing the performance effects of the factors that shape study programme design and to concrete curriculum development at universities.

She is the Course Director of the MSc Financial Technology and Innovation at Bayes Business School.

How the MSc Financial Technology and Innovation prepares students for the future

The MSc Financial Technology and Innovation is designed for students with a keen interest in emerging technologies such as blockchain, artificial intelligence, machine learning, open banking and tokenisation. The programme equips students with the knowledge and experience to pursue careers in fintech, financial innovation and digital finance.

Industry-focused learning

The course blends academic theory with real‑world applications through guest practitioner lectures, industry workshops, networking opportunities at events such as London Fintech Week and the Innovate Finance Global Summit, and an applied dissertation project with industry partners such as the Bank of England, TerraPay and dealio.ai.

Comprehensive skill development

Students develop a blend of technical, analytical and strategic skills, including:

  • Core knowledge of digital finance, including blockchain, digital banking, crypto-assets and transformation strategies
  • Interdisciplinary and strategic thinking that integrates finance, technology, data science and law
  • Technical skills and advanced data literacy, including fluency in Python and R

These capabilities are built through compulsory modules that cover financial markets and intermediation, foundations of fintech and data science, regulatory compliance and ethical considerations, digital money and banking, data analytics for fintech, and decentralised finance and blockchain applications.

Industry engagement and networks

Students benefit from experiential learning such as networking opportunities with professionals in the fintech ecosystem and exposure to current industry practices through events and practitioner-led workshops.

Career preparation

Graduates gain the skills to bridge the gap between technology and finance, making them well-placed for roles in fintech product management, blockchain and digital assets, quantitative analysis, financial consultancy and innovation-focused positions in both startup and established financial organisations.