Unit Economy and Internet Platforms

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент экономики

Статус:

Курс по выбору

Когда читается:

4-й курс, 1 модуль

Преподаватель

Торпищев Тимур Ринатович

Course Syllabus

Abstract

The course will help students understand how the economy of modern digital products and services works. Throughout the course, key business performance indicators will be examined, along with methods for applying them to make informed management decisions.The analysis of various metrics and indicators will enable participants to justify strategic actions, forecast outcomes, and identify growth opportunities. Special attention will be given to two-sided (multi-sided) markets — a unique interaction model in which a platform connects several groups of users, creating value for all parties involved.

Learning Objectives

• Upon completion of the course, students will be able to: 1. Understand the fundamentals of two-sided market theory. 2. Identify types and structures of internet platforms. 3. Apply pricing and competition models 4. Calculate and interpret key unit-economics metrics 5. Build and analyze financial models for internet platforms. 6. Use cohort analysis and scenario modeling for decision-making.

Expected Learning Outcomes

• understand the fundamentals of two-sided market theory
• identify types and structures of internet platforms
• apply pricing and competition models
• calculate and interpret key unit-economics metrics
• build and analyze financial models for internet platforms
• use cohort analysis and scenario modeling for decision-making

Course Contents

• 1. Introduction to the Theory of Two-Sided Markets
• 2. Market Structures of Internet Platforms
• 3. Pricing and Competition in Two-Sided Markets
• 4. Introduction to Unit-Economics
• 5. Key Unit-Economics Metrics
• 6. Financial Model, Metric Interrelations, Budgeting
• 7. Cohort Analysis
• 8. Forecasting and Scenario Modeling

Assessment Elements

• Midterm Test
• Project
• Final project

Interim Assessment

• 2026/2027 1st module
  0.25 * Project + 0.05 * Midterm Test + 0.7 * Final project

Bibliography

Recommended Core Bibliography

• Croll, A., & Yoskovitz, B. (2013). Lean Analytics : Use Data to Build a Better Startup Faster. O’Reilly Media.

Recommended Additional Bibliography

• Спиридонова, Е. А.  Создание стартапов : учебник для вузов / Е. А. Спиридонова. — 2-е изд. — Москва : Издательство Юрайт, 2025. — 187 с. — (Высшее образование). — ISBN 978-5-534-21303-4. — Текст : электронный // Образовательная платформа Юрайт [сайт]. — URL: https://urait.ru/bcode/569604 (дата обращения: 02.07.2026).

Authors

• Brodskaia Natalia Nikolaevna