How to Read a MiM Employment Report (and Spot the Inflated Stats)

When you’re choosing between Master in Management programmes, a school’s employment report is the most useful primary source you have — far better than a ranking, because it’s the school’s own data on where its graduates actually went. But it’s also a document the school writes about itself, designed to look as strong as the truth allows. Learning to read one critically is one of the highest-leverage skills in the whole application process. Here’s how to do it — what the numbers really mean, where they get quietly dressed up, and the questions to ask underneath the headline.

(None of this is about catching schools lying — the figures are usually accurate. It’s about framing: the same honest data can be presented to look exceptional or merely good, and you want to see through to the underlying reality.)

Start with the denominator: “percent of whom?”

The most important number on the page is one the headline rarely shows: how many graduates the percentage is based on. A “96% employed” stat means very different things depending on what’s underneath it.

Two things to check:

• Response rate. A percentage is only as good as the share of the class that answered the survey. If 96% employed is calculated on the 60% of graduates who responded, the 40% who didn’t are invisible — and people without a job to report are, on average, likelier to stay quiet. A high, clearly-stated response rate (say 80%+) makes the number far more trustworthy.
• The “seeking employment” filter. Many reports quote employment as a share of those seeking work — which excludes graduates continuing to further study, starting a business, taking time out, or not job-hunting. That’s a defensible methodology (you don’t want to count someone who chose to do a PhD as “unemployed”), but it shrinks the denominator and lifts the percentage. Always check whether the rate is “of the class” or “of those seeking employment.”

Neither is dishonest. But “96% of job-seekers who responded” is a weaker claim than “96% of the whole class,” and only the footnote tells you which one you’re reading.

Then the clock: three months, six months, from when?

Employment rates are quoted at a point in time after graduation, and the window varies:

• A three-month rate rewards a fast pipeline — schools with heavy on-campus recruiting into early-hiring sectors (consulting and finance recruit far in advance) post strong three-month numbers almost by construction.
• A six-month rate gives slower sectors and later job-hunters more runway, so it’s nearly always higher than the same school’s three-month figure.

Neither is “the real number” — they answer slightly different questions. The trap is comparing one school’s three-month rate against another’s six-month rate as if they were equivalent. Before you compare two schools, confirm both reports use the same window and measure from the same starting point (graduation date vs programme end vs survey date can all differ).

As our read of the employment-rate data across 35+ profiles shows, almost every strong European MiM clusters between roughly 88% and 100% on the three-month measure anyway — so the rate is best used as a sanity check (“is anything alarmingly low?”), not as a tiebreaker between two good schools.

Now the salary line — where the most dressing-up happens

Salary is the figure most sensitive to how it’s defined. Before you read anything into a number, pin down four things:

1. Mean or median? A median (the middle graduate) is more representative. A mean (the average) is pulled upward by a handful of outsized finance, consulting or tech offers, so it usually reads higher than what a typical graduate earns. If the report only gives a mean, treat it as a ceiling, not a typical.
2. Base or total? Base salary and total compensation (base + signing bonus + performance bonus) can differ substantially, especially in finance and consulting. A “€75,000” that’s total comp is not the same as a “€75,000” base.
3. Which currency and region? A figure dominated by London, Zurich or Frankfurt graduates looks high in absolute terms but buys less locally. A salary is only meaningful next to the cost of living where it’s earned — which is also why the FT purchasing-power-adjusts its salary figures.
4. Which cohort, and how measured? The latest class’s self-reported starting salary is a different thing from the FT’s figure, which surveys alumni three years after graduation. Don’t compare a school’s fresh-graduate median against another school’s FT three-years-out number.

A salary stat with no definition beside it tells you little. The same number labelled “median base salary, Europe, class of 2024” tells you a great deal. (For the bigger picture on why pay figures mislead, see what a MiM actually pays in Europe.)

Read the mix, not just the averages

The averages hide the information you most need: where graduates actually go. A report’s breakdown by industry, function and geography is often more decision-useful than the headline rate, because it tells you whether the school feeds the path you want.

• A school with a stellar overall salary that places 70% of graduates into investment banking is a poor signal if you want brand marketing — and a brilliant one if you want banking.
• “Top employers” lists are useful, but check whether they reflect many hires or one graduate at a famous name. A logo is not a pipeline.
• Geographic split matters for international students: a programme whose graduates overwhelmingly stay in the host country may say little about your odds of working where you actually intend to.

The headline rate tells you the school places people; the mix tells you whether it places people like you, into roles like the ones you want. That’s the part worth reading slowly.

A quick checklist for any employment report

When you open one, run these questions:

1. What’s the response rate, and is the percentage “of the class” or “of those seeking work”?
2. Is the employment window three or six months, and measured from when?
3. Is the salary a mean or median, base or total, in what currency/region, for which cohort?
4. What’s the industry / function / geography mix — does it match my goal?
5. Are the top employers real volume or a single marquee hire?
6. How recent is the report, and does it cover the programme I’m applying to (not a sister degree)?

If a report answers these clearly, that transparency is itself a good sign. If it leans on one big headline number with no footnotes, read it more sceptically — and weigh it against the school’s standing in the ranking tables and its cost.

The bottom line

A MiM employment report is the best outcome data you’ll get — if you read past the headline. The percentage depends on who responded and who was counted; the timing changes the number; the salary depends entirely on how it’s defined; and the industry-and-geography mix matters more than the average. Read the footnotes, compare like with like, and use the report to answer the only question that counts for you: does this school place graduates into the roles, sectors and places I actually want?

To put these reports to work, browse each school’s outcomes in the programme catalogue, see how the employment rates compare across Europe, and learn to calculate the ROI for your own case. When you’re ready to act on it, the admissions toolkit helps you position your profile for the schools whose reports match your goals.

Sources & how to confirm

This guide explains how to read and interpret the employment reports that European Master in Management schools publish — the standard metrics (employment rate by window, salary by definition, industry/function/geography mix) and the framing choices that flatter them. It asserts no figure about any specific school; the bands referenced (roughly 88–100% three-month employment) come from our own aggregation of 35+ profiles, each sourced to the school’s own report and the Financial Times. Always read the footnotes and methodology in each school’s current report, and confirm any number against the school’s own page before relying on it. Last checked June 2026.