Master of Science - Fintech & Analytics

Our M.Sc. in Financial Technology and Analytics is a forward-looking degree that prepares you for the future of finance.

As technology continues to disrupt and redefine the financial landscape, professionals equipped with knowledge in both finance and technology will be in high demand.

This degree offers a holistic education to meet the challenges and harness the opportunities of the digital financial era. It combines the domains of finance, technology, and data analytics.

The programme aims to equip you with the skills and knowledge to navigate, innovate, and lead in the rapidly evolving landscape of the financial services industry, particularly in areas impacted by digital transformation.

Degree Prerequisites

Students pursuing the Master of Science in Financial Technology and Analytics degree programme are required to have completed some undergraduate courses in calculus, linear algebra, probability/statistics, and programming with a grade of “B” or better. Applicants who have not satisfied these requirements will be considered on a case-by-case basis by the programme coordinator and Admissions office.

Curriculum

In addition to courses in foundations of financial markets, introduction to fintech, and so on, the programme concludes with capstone project (a final thesis) and case studies—6 credit hours—that allow you engage with real-world challenges and applications of FinTech solutions as well as hands-on experience with FinTech platforms and tools.

  • 10 Core Courses (22 credit hours)
  • 4 Elective/Concentration Courses (8 credit hours)
  • 1 Thesis (6 credit hours)

Core Courses

  • Financial Accounting Information and Analysis (2 credit hours)             
  • Financial Markets and Institutions (2 credit hours)
  • Asset Pricing and Management (2 credit hours)
  • Corporate Finance and Risk Management (2 credit hours)
  • RegTech – Regulatory Technology (2 credit hours)
  • Blockchain and Cryptocurrencies (2 credit hours)
  • Robotics and Financial Technology (2 credit hours)
  • Mathematics and Statistical Methods for Financial Analytics (2 credit hours)
  • Practical Projects, Case Studies, and M.Sc. Research Seminar (2 credit hours)
  • Ethics and Governance in FinTech (2 credit hours)

Electives/Concentration Courses

Students apply 8 credit hours of specialized coursework to the M.Sc. in FinTech and Analytics degree from the following, in consultation with their academic advisor.

  • Special Topics in Financial Technology and Analytics (2 credit hours)
  • Cloud Computing (2 credit hours)
  • Advanced Statistical Methods for Financial Analytics (2 credit hours)
  • Advanced Mathematics in Finance (2 credit hours)
  • Financial Applications of Natural Language Processing (2 credit hours)
  • Financial Applications of Machine Learning (2 credit hours)
  • Financial Applications of Blockchain Technology (2 credit hours)
  • Financial Applications of Web Technologies (2 credit hours)
  • Risk Evaluation and Management (2 credit hours)
  • Risk Management and Cybersecurity (2 credit hours)
  • Digital Banking and Payments (2 credit hours)
  • Algorithmic Trading and Robo-Advising (2 credit hours)
  • Spreadsheet Modelling and Analytics (2 credit hours)

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