QS Global MBA Rankings

Gap = KUBS score minus the median score of programmes ranked #46–#55 in QS Global MBA 2027.

1. Build the QS survey contact lists NOW — the submission window is open.Window open · closes 15 Jan 2027

   QS accepts employer and academic survey contacts from 15 Sep 2026 to 15 Jan 2027; the surveys run Feb–Mar 2027. Who is on those lists decides who gets asked. This is the single highest-leverage action of this cycle.

2. Run a structured employer engagement programme.

   Regular, useful touchpoints with the employers who hire KUBS graduates — in Korea and globally — so that recognition in the employer survey reflects real hiring experience.

3. Activate the global academic network.

   Partner schools, CEMS peers, co-authors and conference communities: make KUBS research and faculty visible to the academics who answer the QS academic survey.

4. Publish an employment report.

   Placement rate, employers, salary and three-month outcomes, reported to MBA CSEA standards. Today the programme publishes a class profile only — peers such as SKK GSB publicly report a 92% three-month employment rate. Evidence the market can check is what moves employer perception.

5. Micro-fix 1
   Alumni outcomes: track and surface alumni achievement.

   Complete alumni records for every cohort, capture promotions, founding stories and CXO appointments, and feed them into the QS data submission. Small cohorts make every visible alumnus count double.

6. Micro-fix 2
   Diversity: audit the four ratios before the next submission.

   Verify how women-student, women-faculty and international-faculty ratios are defined and reported to QS, correct any reporting gaps, and address the real pipeline gaps behind them.

Estimated annual-equivalent reputation votes for the segment KUBS must climb through (MBA ranks #41–#75), modelled by the same method for every school. KUBS is highlighted.

Asian peers outside this segment: NUS AR 133 · ER 46 (#23) · Tsinghua 124 · 45 (#29) · Peking University 117 · 43 (#80) · Shanghai Jiao Tong 112 · 44 (#83) · Yonsei 91 · 38 (#88) · Sungkyunkwan GSB 36 · 17 (#201–250).

How the vote estimates are built (model estimates — QS never publishes vote counts): (1) each university's QS World University Rankings reputation votes are estimated with the log-linear score–vote calibration used in mShare's reputation workspace (fitted on anchor schools; AR R² 0.95, ER R² 0.78); for KUBS this gives AR ≈ 944 and ER ≈ 420 annual-equivalent votes. (2) The university total is scaled by the business share of the university's QS subject-reputation profile, to approximate what a business-only survey pool produces — Business & Management, Accounting & Finance, Marketing, Economics & Econometrics (for KUBS ≈ 11% of academic, ≈ 10% of employer reputation; the range reflects core vs extended subject sets and linear vs squared weighting, and was cross-checked against research-output structure). The QS Global MBA academic and employer surveys are separate instruments from the WUR surveys, with their own institution-submitted contact lists; the WUR reputation footprint is used as the calibration yardstick for the size of each school's business-reputation base — MBA votes are not literally carved out of WUR votes. (3) Annual new-vote requirements are converted from the score pathway with the same calibration. Vote bases measure the reputation asset a school can draw on, not the MBA surveys' actual tallies, which are not published; standalone business schools with no QS WUR presence have no WUR base to calibrate from and are marked n/a. Decomposition: because the MBA surveys are separate, the calibrated total is split into a university-halo component (the WUR-derived slice, discounted for partial overlap between the two respondent pools) and a programme-native component (votes earned within the MBA system itself, estimated from the programme's own employer and academic footprint). The ladder shows combined calibrated totals for all schools; the decomposition is shown for KUBS only. Window assumption: QS aggregates reputation survey responses over a rolling five-year window. KUBS enters the MBA surveys in the 2027 cycle, so the four earlier window years are modelled as empty; annual new-vote targets are therefore front-loaded, and each year's window total is the sum of the annual votes inside the window (equal-weight simplification — QS's exact recency weights are not published).

Year 1 = QS 2028 edition … Year 5 = QS 2032 edition.

* ER and AR sub-scores are not published separately by QS for this ranking; the scenario sets them at their parent lens level in 2027 (ER within Employability, AR within Thought Leadership) and models their growth explicitly. Overall score = the published 63.1 baseline plus the weighted lens gains; QS computes the official overall from underlying metrics. Rank ranges assume competing programmes also improve. All figures are planning scenarios, not guarantees.