Methods and data
What the data is
Each record is one Kaplan Business School alumnus from a public professional profile: the KBS course (name, study area, start and end year) and the current role (job title, employer, country). The data holds no study before or after KBS and no job history. Every figure on this site describes current roles. Data as of Nov 2026.
Courses
Each profile is matched to one current KBS course from kbs.edu.au/courses: by exact name, then by known aliases, then by level and study area. Generic entries such as “Master’s degree, Accounting” are matched to the nearest current course and marked as nearest matches. Retired course names map to the nearest current course.
Job function, seniority, industry
Job function and seniority come from the job title. Industry comes from the employer, not the title. Rules were written first; a language model helped with the remainder; an independent check of random samples found each classifier 90% or more accurate.
Privacy
Public pages show groups only. Any group with fewer than 3 people is hidden, including dropdown values, map countries, tiles, panels and every list inside them. Names, profile links and job-title-to-person links never appear on public pages. AlumniPro is password-protected and for KBS staff.
Estimated salaries
Salary figures are estimates, not survey results and not individual pay. They are built from official national statistics only: for Australia, the ABS Employee Earnings and Hours survey (May 2025, full-time employees, total cash earnings including overtime and bonuses) by occupation group, adjusted for age, industry and employer size using the same survey, uprated with the ABS Wage Price Index to June 2026. For other countries: ONS (UK), BLS (US), MOM (Singapore), Statistics Canada, DOSM (Malaysia), IBGE (Brazil) and ILOSTAT, level only. Each person’s estimate is for their occupation group in their country, so the group figure is an estimate for people like them, not what they earn.
Every displayed figure passes a set of checks against the official medians and percentiles: a floor at the minimum wage and 60% of the median, a ceiling at 125% of the 90th percentile, a level test, a consistency test and a minimum of 3 estimates. A group that fails any check shows “Not enough reliable data to estimate pay for this group”. Figures are rounded to the nearest 1,000. Display currencies use ECB reference rates, 12-month average 2025-11-01 to 2026-10-31.
Attribution
Australian Bureau of Statistics, Employee Earnings and Hours, Australia, May 2025 and Wage Price Index, Australia (CC BY 4.0). Office for National Statistics, Annual Survey of Hours and Earnings 2025 (Open Government Licence v3). US Bureau of Labor Statistics, Occupational Employment and Wage Statistics May 2025 (public domain). Ministry of Manpower Singapore, Occupational Wages 2025 (Singapore Open Data Licence). Statistics Canada, table 14-10-0417-01 (Statistics Canada Open Licence). Department of Statistics Malaysia, Salaries and Wages Survey (CC BY 4.0). IBGE, PNAD Contínua (open data). ILO, ILOSTAT earnings by occupation (CC BY 4.0). Exchange rates: European Central Bank reference rates. QILT Graduate Outcomes Survey 2025 was used only as a benchmark check.
About
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