We use cookies in order to improve the quality and usability of the HSE website. More information about the use of cookies is available here, and the regulations on processing personal data can be found here. By continuing to use the site, you hereby confirm that you have been informed of the use of cookies by the HSE website and agree with our rules for processing personal data. You may disable cookies in your browser settings.

  • A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Digital Finance

2024/2025
Academic Year
ENG
Instruction in English
3
ECTS credits
Course type:
Elective course
When:
2 year, 2 module

Instructor


Мищенко Вячеслав Владимирович

Course Syllabus

Abstract

The Digital Finance master's Course provides comprehensive coverage of the innovations currently shaping the banking industry. From blockchain and digital currencies to AI-driven financial services, this Course dissects the various facets of the rapidly evolving digital banking ecosystem. The methodology for this Course integrates a combination of active student engagement, and blends individual and team work to facilitate a comprehensive, critical, and participatory learning experience. A flexible training approach is adopted to encourage reflection and a business-focused mindset. Each class session will be divided between lectures and practical applications, such as case analyses or exercises. The emphasis will be on interactive learning, with significant importance placed on class participation. All participants are expected to have completed the essential readings, prepared the case studies thoroughly, and be ready to contribute fully to class discussions. This format is designed to ensure a dynamic and effective learning environment, fostering a deep understanding of financial innovations and digital banking.
Learning Objectives

Learning Objectives

  • Related to new knowledge and skills to be acquired: Students will gain conceptual knowledge of key technologies like blockchain, AI, big data and machine learning transforming banking and finance. They will also cultivate strategic thinking, analytical skills, and technological literacy to lead innovation in digital financial services.
  • Related to generic competences: Students will develop critical discernment to evaluate technology trends reshaping banking, ethical awareness regarding emerging models, and creativity to formulate digitally enabled strategies and solutions. They will also hone their communication skills for presenting digital transformation plans.
Expected Learning Outcomes

Expected Learning Outcomes

  • Critically analyze the innovations influencing banking and finance
  • Discuss the role of technologies like blockchain, AI and machine learning in digital banking
  • Evaluate the impact of digital disruption on traditional banking models and services
  • Analyze the regulatory, ethical and cybersecurity challenges posed by digital banking
  • Formulate and present strategies for digital banking transformation
Course Contents

Course Contents

  • Module 1: Introduction to Financial Innovations
  • Module 2: Blockchain, Cryptocurrencies, and Digital Payments
  • Module 3: Artificial Intelligence and Big Data in Banking
  • Module 4: Regulatory and Ethical Aspects of Digital Banking
  • Module 5: Disruption and the Future of Banking
Assessment Elements

Assessment Elements

  • non-blocking Individual Test
  • non-blocking Group Project
  • non-blocking Class Participation
Interim Assessment

Interim Assessment

  • 2024/2025 2nd module
    0.1 * Class Participation + 0.3 * Group Project + 0.6 * Individual Test
Bibliography

Bibliography

Recommended Core Bibliography

  • Цифровые финансы : учебник / под ред. И.П. Хоминич, С.В. Фруминой. — Москва : ИНФРА-М, 2024. — 451 с. — (Высшее образование). — DOI 10.12737/2091938. - ISBN 978-5-16-019163-8. - Текст : электронный. - URL: https://znanium.ru/catalog/product/2091938

Recommended Additional Bibliography

  • Блокчейн в платежных системах, цифровые финансовые активы и цифровые валюты : учебное пособие для магистратуры / под ред. Т.Э. Рождественской, А.А. Ситника. — Москва : Норма : ИНФРА-М, 2024. — 128 с. - ISBN 978-5-00156-171-2. - Текст : электронный. - URL: https://znanium.ru/catalog/product/2111409

Authors

  • SOLOVEVA EKATERINA EVGENEVNA