Programs Class sizes at math phd programs?

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Class size information for math PhD programs can be challenging to find, but it appears that programs like those at UCLA typically admit 30-40 new graduate students annually, combining both pure and applied math. This number can fluctuate based on various factors, including undergraduate interest and faculty teaching assignments. For example, the presence of renowned faculty can significantly impact enrollment in specific courses. While some universities provide admissions data on their websites, it may require thorough searching to find accurate figures. To estimate class sizes, one can divide the total number of current graduate students by the average years to graduation, often approximated at 4.5 years. Overall, the trend in admissions numbers has been influenced by economic conditions, with some fluctuations observed in recent years.
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Where can I find class size information for math phd programs? In physics the class sizes seem to be larger (>20). However, It seems like math phd programs on average have only 15 new grad students per year. I can't find the specific information anywhere though. What would be the average class size at Berkeley, UCLA or Michigan?
 
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Some schools have information on this if you dig around for long enough. You can estimate it, though, by taking the number of current grad students and dividing by the average number of years to graduate (which is also frequently on the website, but you can just guess 4.5 and probably won't be far off).

The three schools you mentioned all have fairly large programs. UCLA math, for example, typically have 30-40 new grad students per year (combined in both pure and applied math - some schools treat these separately).
 
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Some schools have their admissions data online, just go to their grad programs admissions page.

UCLA math data:
goo.gl/SYWF7

But the PhD completion rate is pretty old.
 
JasonMode said:
Some schools have their admissions data online, just go to their grad programs admissions page.

UCLA math data:
goo.gl/SYWF7

But the PhD completion rate is pretty old.

This whole page is actually a little misleading - included in the average are the numbers from before their math and statistics department split up.
 
Monocles said:
Some schools have information on this if you dig around for long enough. You can estimate it, though, by taking the number of current grad students and dividing by the average number of years to graduate (which is also frequently on the website, but you can just guess 4.5 and probably won't be far off).

The three schools you mentioned all have fairly large programs. UCLA math, for example, typically have 30-40 new grad students per year (combined in both pure and applied math - some schools treat these separately).

Wow, 30-40! Is that for just pure math or pure math+applied math? Also, I know the numbers have been going down since the economy went down the toilet. Are they going back up?
 
You can see actual class sizes for the math department here: http://www.registrar.ucla.edu/schedule/detmain.aspx?termsel=11F&subareasel=MATH , http://www.registrar.ucla.edu/schedule/detmain.aspx?termsel=12w&subareasel=MATH , http://www.registrar.ucla.edu/schedule/detmain.aspx?termsel=12s&subareasel=MATH . The 200 level classes are the graduate ones.

Sizes obviously fluctuate a bit from year to year, partly based on undergraduate interest. If Terence Tao had taught 245A, there would have been a lot more undergrads taking it. He'll be teaching 245B and 245C next year, so I'm guessing that might cause a bit of a bump.
 
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