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Key to the weighting of ranking factors

Weights for the different criteria as a percentage of the overall ranking they informed are shown in brackets (pre-experience) [post-experience].

Salary today US$ (20) [20]: average alumnus salary three years after graduation, US$ PPP equivalent.*

Salary increase (n/a) [20]: average difference in alumnus salary before the master’s and today. Half this figure is calculated according to the absolute salary increase in monetary terms, and half according to the percentage increase.*

Value for money (5) [3]: calculated according to alumni salaries today, course length, fees and other costs, including the opportunity cost of not working during the programme.*

Careers (10) [7]: calculated according to the career status of alumni three years after graduation. It is measured according to seniority and company size.*

Aims achieved (5) [3]: the extent to which alumni fulfilled their goals or reasons for doing a masters.*

Placement success (5) [3]: effectiveness of the careers service in supporting student recruitment, as rated by alumni.*

Employed at three months (5) [3]: percentage of the most recent graduating class that found employment within three months. The figure in brackets is the percentage of the class for which the school was able to provide data.

Female faculty (5) [3]: percentage of female faculty. For this and all other gender-related criteria, schools with 50:50 (male:female) composition receive the highest possible score.

Female students (5) [3]: percentage of female students on the master’s programme.

Women on board (1) [1]: percentage of female members on the school advisory board.

International faculty (5) [5]: calculated according to faculty diversity by citizenship and the percentage whose citizenship differs from their country of employment – the figure published in the table.

International students (5) [5]: calculated according to the mix of nationalities among current master’s students and the percentage whose citizenship differs from country of study – the figure published in the table.

International board (2) [2]: percentage of the board whose citizenship differs from the school’s home country.

Faculty with doctorates (6) [6]: percentage of full-time faculty with doctorates.

International mobility (10) [8]: calculated according to changes in the country of employment of alumni between graduation and today.*

International course experience (10) [8]: calculated according to four criteria that measure international exposure during the master’s programme.

Languages (1) [n/a]: number of extra languages required to graduate.

Course length (months): average length of the master’s programme.

Company internships: percentage of the most recent graduating class that completed an internship as part of the master’s programme.

*Includes data for current and one or two preceding years where available.

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