Plekhanov Russian University of Economics
#741
QS World University Rankings 2026
Not listed
QS 2026 overall score
Ranking data
QS World University Rankings source#741
QS World University Rankings 2026
#711
QS World University Rankings 2025
Not listed
QS 2026 overall score
Indicator-level data
Each card keeps the QS 2026 score and rank separate. A missing value is not estimated.
Academic reputation
- QS 2026 score
- 15.5
- QS 2026 rank
- #701
Employer reputation
- QS 2026 score
- 30.1
- QS 2026 rank
- #474
Faculty-student ratio
- QS 2026 score
- 57.8
- QS 2026 rank
- #314
Citations per faculty
- QS 2026 score
- 3.3
- QS 2026 rank
- #801
International faculty ratio
- QS 2026 score
- 4.1
- QS 2026 rank
- #801
International student ratio
- QS 2026 score
- 26.7
- QS 2026 rank
- #636
International student diversity
- QS 2026 score
- 31.7
- QS 2026 rank
- #595
International research network
- QS 2026 score
- 61.2
- QS 2026 rank
- #674
Employment outcomes
- QS 2026 score
- 55.2
- QS 2026 rank
- #300
Sustainability
- QS 2026 score
- 42.4
- QS 2026 rank
- #801
About Plekhanov Russian University of Economics
Plekhanov Russian University of Economics focuses on business, economics, and digital change
Plekhanov Russian University of Economics organises its academic structure through higher schools, faculties, institutes, departments, branches, and specialist centres. The public structure identifies a route built around economics, management, finance, marketing, trade, law, digital economy, information technology, industry management, and hospitality. This makes the university a useful place to examine how organisations, markets, public rules, and digital systems interact. A project should still be placed with the department whose methods and evidence fit the question.
Economics research may study firms, households, markets, policy, prices, productivity, or regional development. Finance and accounting work with statements, transactions, risk, investment decisions, and reporting. Management and organisation studies need people, work processes, strategy, or change. Marketing and trade examine products, customers, channels, communication, and consumption. Law and public administration add rules, institutions, enforcement, and public decisions. Digital-economy work may connect these fields with software, data, platforms, or automated services.
Plekhanov research routes connect economic questions with technology and society
A digital project should not stop at the phrase digital economy. It should state whether the object is a platform, information system, dataset, algorithm, online service, or change in organisational practice. A finance question needs a defined market, record, portfolio, or risk event. A management study needs a workplace, team, process, or decision. Trade and hospitality research can use supply chains, stores, service encounters, destinations, or customer behaviour. Public-sector work requires a policy, agency, programme, or group affected by the decision.
The university's institutes and departments provide different ways to connect economic analysis with business practice. A project can combine statistics with interviews, legal analysis with organisational records, or digital methods with market evidence. The key is to state which result is primary. For example, a model of demand is different from a study of how managers use that model, even when they use the same sales data. This distinction helps a student identify the right research group and prepare a focused conversation.
How to assess a Plekhanov Russian University of Economics route
Start by naming the unit of analysis. Economics needs a market, household, firm, industry, policy, or regional indicator. Finance needs a transaction, asset, institution, or risk measure. Management requires an organisation, team, workflow, or strategic decision. Marketing and trade need a product, customer group, channel, or service setting. Law needs a rule, case, contract, or regulator. Information technology requires code, data, a platform, or a user interaction.
For Plekhanov, put the higher school, faculty or institute beside the question, then add the method, study language, expected output, and one active department or researcher page. Say whether the work is quantitative, qualitative, computational, legal, organisational, market-based, or policy-oriented. Name the dataset, firm, public body, service, platform, store, or interview group that supplies the evidence. A centre can help locate expertise, but the academic department should stay in view when you compare the route with your preparation. Moscow can be a market, institutional setting, or location of the research team, so explain what role it plays in the design. The final note should say whether the output will be a statistical estimate, software artefact, process map, policy analysis, or interpretation of business practice. This keeps the wide economic structure connected to a workable research action.
A practical Plekhanov research question
A clear Plekhanov question can be written as a link between a decision and evidence. State who makes the decision, what information they use, and what will be measured or interpreted. The answer might be a market estimate, risk comparison, digital prototype, legal reading, service analysis, or account of organisational change. That chain points to a department more reliably than a general interest in business or economics.
Institution record
- Country
- Russian Federation
- Region
- Europe
- Status
- Public
- QS size code
- L
- Profile record updated
- July 24, 2026
This date shows when this profile was refreshed. It is not a source-verification date from QS or the university.
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