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Institution profile

Plekhanov Russian University of Economics

Russian FederationEurope

#741

QS World University Rankings 2026

Not listed

QS 2026 overall score

QS World University Rankings data

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

QS 2026 indicators

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
University profile

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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