Higher School of Economics (National Research University)

Financial Technologies and Data Analysis


Master’s course in Financial Technologies and Data Analysis with a degree in 01.04.02 Applied Mathematics and Information Science

Product Owner

• Solid command of Agile approaches, understanding of business processes, and ability to adjust them to a constantly changing business environment.

• Knowledge of the product portfolio, experience of new product development, and understanding of its P&L and impact on the Bank’s overall performance.

• Understanding and leveraging the impact of external environment and internal factors when addressing business tasks. Development of analytical tools.

• Ability to work with big data and to structure data for the purposes of managerial decision-making. Development of systems thinking.

• Ability to develop technology concepts on the basis of FinTech solutions (marketplace, data driven, etc.). Project management skills.

• Development of emotional intelligence, empathy, and leadership potential. Ability to adapt to constantly evolving technologies. A Master’s course for applicants with a degree in Engineering, Finance, or Economics. The cross-functional programme covers management tools, applied economic analysis, and financial and information technologies.

Entrance requirements

A programme for holders of a Bachelor’s degree in Mathematics, Economics, or Engineering from leading universities. Financial Technologies and Data Analysis focuses on three skillsets of a professional data scientist: mathematical methods and algorithms (data science), software tools (data engineering), and implementation of models in business.

Admissions process

  1. Further Mathematics (written)
  2. Interview
  3. English Language (qualification exam: test + listening)

On-campus course, 2 years

Applications are accepted starting from April

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