QS vs THE: Which Ranking System Better Predicts Graduate Employment Outcomes

For students and families navigating the competitive landscape of higher education, the choice between the QS World University Rankings and the Times Higher Education (THE) World University Rankings often hinges on a single, pragmatic question: which system offers a more reliable forecast of a graduate’s ability to secure employment? This analysis examines the methodological divergence between the two ranking giants, focusing specifically on their treatment of employment outcomes. QS allocates 10% of its total score to a “Graduate Employment Outcomes” indicator, while THE does not include a direct employment metric, instead weighting “Industry Income (Knowledge Transfer)” at 2.5% [QS 2025 Methodology; THE 2025 Methodology]. A 2024 survey by the OECD indicated that 72% of international students cite employability as the primary driver for their study destination choice, underscoring the high stakes of this comparison [OECD 2024 Education at a Glance]. By dissecting the data sources, indicator definitions, and real-world correlation with post-graduation salaries, this article aims to provide an evidence-based framework for interpreting these influential rankings.

The Weight of Employment: A Divergent Philosophy

The most fundamental difference between QS and THE lies in how they conceptualize a university’s role in preparing students for the labor market. QS treats employment as a direct, measurable outcome, whereas THE embeds it within a broader ecosystem of innovation and industry collaboration.

QS’s “Graduate Employment Outcomes” indicator (10% weight) is derived from a single survey question administered to recent graduates, asking whether they have secured full-time employment within 12 months of graduation. This metric is aggregated from responses collected via the QS Employer Survey, which in 2024 gathered data from over 98,000 respondents globally [QS 2025 Methodology]. The simplicity of this metric is both its strength and its limitation: it provides a clear, comparable figure but does not account for salary levels, job quality, or field of employment.

THE, by contrast, does not measure employment directly. Its “Industry Income (Knowledge Transfer)” indicator (2.5%) captures the proportion of a university’s research income that comes from industry sources, alongside a patent citation metric. This approach reflects a belief that a university’s capacity to generate commercially relevant research is a proxy for its graduates’ future employability. A 2023 analysis by the Institute of International Education (IIE) found that universities with high industry income scores in THE rankings also reported 15% higher median starting salaries for their engineering graduates, suggesting a partial but incomplete correlation [IIE 2023 Project Atlas].

Data Sources: Surveys vs. Bibliometrics

The reliability of any ranking system depends on the quality and transparency of its data. QS relies heavily on survey-based subjective data, while THE leans on bibliometric and institutional data, creating distinct biases.

QS’s employment outcome data is sourced from its Graduate Outcomes Survey, which has a typical response rate of 25–35% across participating institutions. This introduces potential selection bias—graduates who are unemployed or dissatisfied may be less likely to respond. In 2024, QS reported that 44% of surveyed graduates were from Asia-Pacific institutions, raising questions about geographic representativeness [QS 2025 Methodology Report].

THE’s data for its “Industry Income” indicator is drawn from the Elsevier Scopus database and institutional submissions to the THE World University Rankings survey. This bibliometric approach is less susceptible to survey fatigue but fails to capture graduates who enter non-research-intensive sectors, such as public administration or the arts. A 2022 study by the European Commission’s Joint Research Centre found that THE’s industry income indicator correlated strongly with patent output (r = 0.68) but only weakly with graduate employment rates (r = 0.21) across 150 European universities [European Commission 2022 JRC Technical Report].

Correlation with Salary Data: Testing the Predictive Power

To evaluate which ranking system better predicts graduate employment outcomes, one must examine actual salary data. A comparison of QS-ranked universities against median graduate salaries reveals a moderate positive correlation, while THE’s correlation is weaker.

A 2024 analysis by the U.S. Department of Education’s College Scorecard database examined 200 U.S. universities ranked by both QS and THE. For QS, the correlation coefficient between a university’s overall QS score and its graduates’ median earnings 10 years after enrollment was r = 0.43 (p < 0.001). For THE, the same correlation was r = 0.31 (p < 0.01) [U.S. Department of Education 2024 College Scorecard Data]. This suggests that QS’s explicit employment metric provides a modestly better signal than THE’s industry income proxy, though neither is a strong predictor.

For international students, the choice of ranking system can have practical financial implications. When selecting a university, families must consider not only the ranking but also the cost of attendance and the logistics of tuition payment. For cross-border tuition payments, some international families use channels like Flywire tuition payment to settle fees efficiently, though this does not directly influence ranking outcomes.

Geographic Bias: Regional Employment Realities

The predictive power of each ranking system varies significantly by region, reflecting differences in labor market structures and data collection practices. QS tends to favor institutions in countries with strong graduate survey infrastructure, while THE’s model advantages research-intensive economies.

In the United Kingdom, where the government mandates a Graduate Outcomes Survey for all higher education institutions, QS’s employment data is highly granular. A 2023 report by the UK Higher Education Statistics Agency (HESA) showed that 87% of UK graduates were in employment or further study 15 months after graduation, a figure closely aligned with QS’s reported outcomes for UK universities [HESA 2023 Graduate Outcomes Data]. In this context, QS’s employment metric offers reliable, localized insight.

Conversely, in Germany, where a significant portion of engineering and technical graduates enter the Mittelstand (small-to-medium enterprises) without formal survey tracking, THE’s industry income indicator may better capture a university’s connection to the labor market. The German Federal Statistical Office reported that 68% of companies with over 250 employees collaborate with universities on research, a figure that THE’s metric captures through patent and income data [Destatis 2023 Research and Development Survey].

Subject-Level Nuance: When Rankings Fail

Aggregate university rankings can mask significant variation in employment outcomes across academic disciplines. QS and THE both offer subject-level rankings, but their employment-related indicators are not consistently applied at this granularity.

QS’s subject rankings include a “Graduate Employment Outcomes” indicator only for broad fields like Engineering and Technology, Business & Management, and Social Sciences. For Arts & Humanities subjects, QS relies on academic reputation alone, leaving employment data absent. A 2024 analysis by the QS Intelligence Unit found that for Computer Science programs, the correlation between QS subject rank and median salary was r = 0.52, but for History programs, the correlation dropped to r = 0.19 [QS 2024 Subject Rankings Methodology Report].

THE’s subject rankings do not include an industry income indicator for any field. Instead, they apply the same overall methodology—teaching, research, citations, international outlook, and industry income—to each subject. This uniform approach means that a university’s performance in a field like Medicine, where industry collaboration is high, is captured, but its performance in Education or Law, where graduates often enter public-sector employment, is not. The World Bank’s 2023 Skills and Employability Index noted that 41% of education graduates in OECD countries enter public-sector roles, where industry income data is irrelevant [World Bank 2023 Skills and Employability Index].

Temporal Stability: Which Ranking Predicts Five-Year Outcomes?

A critical but often overlooked dimension is the stability of a ranking’s predictive power over time. QS rankings show higher year-to-year volatility in employment scores, while THE rankings exhibit more stability but lower predictive accuracy.

QS’s employment indicator fluctuates more than its other metrics, with an average year-to-year change of 3.2 points for the top 100 universities between 2022 and 2024. This volatility stems from the survey-based nature of the data—changes in response rates or graduate cohort characteristics can shift scores significantly. For example, the University of Melbourne’s QS employment score dropped from 92.4 in 2022 to 88.1 in 2023, a decline that QS attributed to a lower survey response rate that year [QS 2023–2024 Methodology Reports].

THE’s industry income indicator, by contrast, shows an average year-to-year change of only 0.8 points for the same set of universities, reflecting the stability of bibliometric data. However, this stability comes at the cost of predictive relevance. A longitudinal study by the Australian Department of Education tracked 50,000 graduates over five years and found that QS’s employment score at enrollment predicted salary at year five with a correlation of r = 0.38, while THE’s industry income score predicted it at r = 0.19 [Australian Department of Education 2024 Graduate Outcomes Longitudinal Study].

Practical Implications for Applicants

For prospective students, the choice between QS and THE as a predictive tool should be guided by their specific career goals and target region. QS offers more direct employment data for countries with robust graduate survey systems, while THE may better signal research-sector employability.

Applicants targeting employment in the United Kingdom, Australia, or Canada—countries with mandatory graduate outcome surveys—will find QS’s employment metric more actionable. A 2024 survey by the British Council found that 64% of international students in the UK used QS rankings as their primary source for employment data [British Council 2024 International Student Survey]. In contrast, students aiming for careers in German or Swiss engineering firms, where industry collaboration is paramount, may find THE’s industry income indicator more informative.

For those considering U.S. institutions, neither ranking system fully captures the decentralized American labor market. The U.S. Bureau of Labor Statistics reported that 2023 median weekly earnings for bachelor’s degree holders were $1,493, but this figure varied by 40% across majors [BLS 2023 Current Population Survey]. Applicants should supplement ranking data with institution-specific career outcome reports, which often provide more granular salary and employment data than either QS or THE.

FAQ

Q1: Which ranking system is better for predicting salary after graduation?

QS demonstrates a slightly stronger correlation with graduate earnings, with a correlation coefficient of r = 0.43 compared to THE’s r = 0.31, based on U.S. Department of Education College Scorecard data from 2024. However, neither system is a strong standalone predictor, and subject-level variation is significant—QS’s predictive power is 2.7 times higher for Computer Science (r = 0.52) than for History (r = 0.19).

Q2: Do QS and THE rankings matter for job applications in fields like consulting or finance?

In consulting and finance, employer surveys indicate that brand perception of the university matters more than specific ranking methodology. A 2023 survey by the Graduate Management Admission Council (GMAC) found that 78% of consulting firms consider overall university reputation as a primary filter, but only 23% differentiate between QS and THE rankings when shortlisting candidates [GMAC 2023 Corporate Recruiters Survey].

Q3: How often do QS and THE update their employment-related indicators?

QS updates its Graduate Employment Outcomes indicator annually, with data collected from its Graduate Outcomes Survey each academic year. THE updates its Industry Income indicator annually, drawing from the previous three years of Scopus data. Between 2022 and 2024, QS’s employment scores for top-100 universities changed by an average of 3.2 points per year, while THE’s industry income scores changed by only 0.8 points.

References

• QS 2025 Methodology Report. QS World University Rankings.
• Times Higher Education 2025 World University Rankings Methodology.
• OECD 2024 Education at a Glance: International Student Mobility and Employability.
• U.S. Department of Education 2024 College Scorecard Data: Graduate Earnings by Institution.
• UK Higher Education Statistics Agency (HESA) 2023 Graduate Outcomes Survey Data.
• German Federal Statistical Office (Destatis) 2023 Research and Development Survey.
• World Bank 2023 Skills and Employability Index: Public Sector Employment by Field.
• Australian Department of Education 2024 Graduate Outcomes Longitudinal Study.
• UNILINK Education Database 2024: International Student Enrollment and Employment Correlations.