You’ll only obscurantly come across the two, almost in conjunction with each other, in few MBA admission-outreach events, articles comparing MBA programs, and MBA program websites.
Nevertheless, these are two of the most keenly monitored and, often, proactively-managed indices by MBA programs.
Why?
Because they are strong, market-determined reflection of popularity of their programs.
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How many times last week you got uninterrupted four hours at work? (Uninterrupted means uninterrupted – no meetings, impromptu chat from boss or colleague, phone calls, and similar disturbances.)
Two hours?
One hour?
You’ll have to really stretch your memory to recall when you last got even one hour of uninterrupted time.
Not surprisingly, there are days when we wonder, “Did I get anything solid done today?”
Jason Fried, co-founder of 37 signals, in this satirical TED Talk argues that blocking Facebook, Twitter, and YouTube at workplace isn’t the solution. The solution, according to him and rightly so, is to have less meetings and less interruptions. And in the end, he suggests three solutions to get more done at workplace.
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If you look at enrollment figures (class size, in other words) of MBA programs, you’ll notice variations from year to year – mostly small, but few large.
Why does class size change?
Is it planned? Is it impacted by external factors? Or, sometimes it’s just random?
Let’s look into the reasons behind:
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Acceptance rate and yield of an incoming MBA class are considered two of the most authentic parameters reflecting the popularity of a program. But even they need to be sometimes interpreted with caution, or else you might arrive at erroneous, even surprising, conclusions.
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No doubt, this is a controversial topic.
Traditionally, HBS has had the highest yield (88-90% range) of all MBA programs, followed by Stanford (78-84% range).
(Yield of an incoming class of an MBA program is the percentage of accepted applicants who join the program, and it’s one of the best market-driven statistics that reflect reputation of a program.)
Then, how does such bold, cold statistic lie?
It doesn’t.
But it doesn’t reveal the entire picture, either.
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