GSB Claims Top Spot in 2018 FT MBA Ranking
Hello everybody,
The Financial Times published their yearly ranking yesterday. Congrats to GSB for reclaiming the top spot! Here are the key links:
I must admit I'm pretty impressed by the salary premium GSB commands.
HBS 5th...
Are you being paid by Stanford to promote their GSB? lol see? I can come up with this shit too
Let's assume I am an alumnus from a competitor, maybe even from the one in your post ... I still respect what GSB has done :)
This seemed like it would be obvious.
When Nasdaq is booming Stanford dominates.
Ten years ago when banks were booming Harvard dominates
I hope they didn't base the rankings too much on salary without taking cost of living into account. A lot of GSB alum stay in the Valley, where the cost of living is absurd in comparison to many other places in America and internationally.
Comparing the cost of living in the two nearest large metro areas- $200,000/yr in San Fran equates to $163,000 in Boston. I have absolutely nothing against GSB, but I think they are getting better scores due to the crazy inflated cost of living in the area.
How did you make that calculation? Because I'm interested to see what the equivalents would look like for some other major cities.
I used https://www.bankrate.com/calculators/savings/moving-cost-of-living-calc…</a">this one from bankrate, but if you just google "cost of living calculator," you'll find a bunch. It's good to try a few for a more broad perspective, as each takes different things into account.
It could be interesting to look at where grads go. GSB might send more grads to the SF area, but wouldn't East Coast be skewed towards Manhattan (which has a higher CoL than SF according to bankrate)?
Not completely sure, but it seems to me that GSB students place much greater importance on ending up in a specific region (SF) post-MBA. I don't think the same is true for HBS students and NYC.
The geographic span of post-MBA placements is probably more variable at HBS than it is at GSB, so I wouldn't place too much weight on compensation data that is heavily skewed toward COL.
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