This guide is a compilation of advice and opinions from Mudders who have experienced the grad school application process and (generally) grad school itself. Many sections have been copied verbatim except for minor changes which were made primarily to add context; all credit goes to the original authors. Its target audience is Mudders seeking to enter grad school in mathematics or a related area in the fall of 2011, but it's likely relevant to a much broader readership.
Contributors include Bob Chen ('10), Natalie Durgin ('09), Sarah Fletcher ('09), Ben Preskill ('09), David Morrison ('08), and Sean Plott ('08).
Firstly: don't stress!!
get into grad school.
This is a wonderful book for all your pre, during, and post grad-school needs: A Mathematician's Survival Guide: Graduate School and Early Career Development
by Steven G. Krantz.
GRE General Test
It would be smart to take the general test as early as possible, e.g. in the summer after junior year, the summer after sophomore year, even the summer after freshman year. You'll be glad to have it out of the way in senior year.
The quantitative section on the GRE general test is nothing to worry about. However, it would be a good idea to take a practice test to familiarize yourself with the kinds of problems and make sure you're not lacking in any areas. Take the test slowly and methodically--the most difficult aspect of the test is refraining from constantly second guessing yourself; the problems are that
On the other hand, the verbal section is hard
. You should study the vocab vigorously. Remember that the general GRE is targeted
towards the "average profile college student." The vast majority of college students
only took 1-3 math courses in their entire curriculum, while the rest of
the time was spent doing reading and writing. HMC students sometimes have less experience in that regard.
GRE Mathematics Subject Test
Take the subject test early and often--as soon as possible! That extra chance
could make the difference! You can--and are encouraged to--take the test before your senior year, but it would be best to wait until after algebra I, analysis I, and discrete. You also need to sign up ASAP. Since there
are limited offerings, they fill up really quickly at all reasonable locations. This year there are tests on October 9, November 13, and April 9. Mudd is hosting a test center at the November date. Note however that many grad schools have GRE score deadlines on or around December 15, and the approximate score report mailing
date for the November 13 test is December 24. The registration deadline for the October 9 test is September 3, but registration is still possible until September 10 with a $25 fee. For more information on the test deadlines, look here
The best way to study for the test is to study definitions and drill problems. The algebra and analysis questions tend to be of the "prove you really understand the basic definitions" variety rather than anything complicated. For these, review the basic definitions. These problems
should be the fast and easy ones. For the other problems: Practice Practice Practice! The most challenging part of the test is the time pressure, so you should spend a lot of time working on solving problems quickly. The part I was most annoyed by is the large chunk of AP Calc, basic multi V and basic DEs problems. These aren't hard until you realize that you have less than two minutes to work out the computations. My guess is that the best way to prep for that part is to just drill them--that and practice estimating so
that you don't waste time on tedious arithmetic (you don't get a
calculator). In some cases, the most efficient way to approach the
problem is to just check the possible answers and see which works.
They also like the "here is a nasty trig expression, which of the
following is equivalent" problems. For those you plug in pi, pi/2,
pi/3, pi/4 until you narrow it down to one. Sometimes just the first
two are sufficient. There are also
a handful of random problems that they pull from assorted higher areas
of mathematics. There will probably be a complex analysis problem of
some sort. I think the test I took had a "here is an algorithm and an
input, which of the following is the right output" type and something
from set theory. If you go poke around on the website you can
probably find a list of the kinds of problems they can ask. The
biggest thing though really is making sure you can do the computation
problems fast enough, or you are going to find yourself running out of time.
There's a good description of the specific topics on the GRE website
. Roughly, the topics are as follows:
- Advanced math:
basic group theory (groups, subgroups, order), analysis (think
convergence, cauchy equation of real numbers, open sets, compact sets),
combinatorics and number theory (modular arithmetic, bijective
arguments, choose and permutations). Many people won't need to study this stuff much at all.
Calculus: multi V, flux, div grad curl, green, stokes,
interchanging integrals (when can you?) actually computing
(indefinite) integrals, trig forms and identities, integrals of trig
forms. This will probably be the brunt of your studying for the math
GRE because you have likely forgotten all your integral calculus, and
especially your multi V. This is where a test prep book comes in handy, it will contain tables of integrals for you to study and lots of practice
As for drilling problems--which you really, really
need to do--find as many old tests as you can. There is at least one freely available on the ETS website. Take them real time after reading through a prep book. I really like Princeton Review's book
. I usually like them best. I still use it on occasion if I need to brush up on undergrad math! Another Mudder used both the Princeton Review book and the REA book
, and found the latter much more useful for test prep.
Choosing schools to apply to
A new set of rankings of graduate
schools has just been released. It's rather complicated. Here is the
FAQ at the Chronicle of Higher Education:
And here is a tool to explore the rankings:http://chronicle.com/page/2010-Rankings-Doctoral/321/
of the data measured has more to do with faculty reputation and
publication rate than with grad student experience. But you should look carefully at the rankings for completion percentage,
time to degree,and percentage of Ph.D.s with academic jobs.
Grad School Applications
From the perspective of someone who has recently applied to pure math graduate programs, the following are the main components to a typical application. (Things may be different for students intending to enter applied math programs.)
Personal Statements/Curriculum Vitae (CV)
Recommendations (by far the most important component of the application--you need three or more)
Math Subject GRE, General GRE
- Typeset everything in LaTeX if possible. Some schools require you
to have specific things in your headers/footers. LaTeX will handle
this nicely, plus the more TeX skills you show off the better. Make a really nice CV. This is different from a resume in that it may contain
multiple pages, but as an undergrad, do not exceed 2 pages. Look
online for templates, ask Judy (Office of Career Services) for feedback. Nearly every institution
to which I applied allowed/requested submission of a CV. An example of a nice CV is attached (see the bottom of this page).
Usually you are required to submit a Personal Statement, Research
Experiences Statement (and for the NSF a Research Proposal). Sometimes a Diversity Statement is allowed, but not required. You should have
1000 word (i.e. two single spaced pages) versions for most fellowships
and grad schools. Some may require 500 word versions. After crafting
these statements, ask your recommending professors to give feedback.
Go to the writing center. Get lots of opinions! Your grad school
statements should sound a lot more professional and less touchy-feely
than the ones you wrote for undergrad. Math grad schools (pure math at least) will NOT care about your leadership skills (unless it is math
related), religious affiliations, piano skills etc. They don't want to
know who you are as a person, they want to know who you are as a
mathematician. Everything in your statement should be math related! E.g. what classes/theorems/problems inspired you, times when you got really excited about a problem and came up with a really elegant
solution, your REU's, your work as a grader or AE math tutor, some
details about any publications you may have etc. You basically need to convey in a persuasive, professional, and not overly emotional manner
that you will SHRIVEL UP AND DIE if you are not doing mathematics
24/7, what type of mathematics you could see yourself doing (with
supporting coursework/experiences/etc.) and why you will thrive in
department X. Write them specifically for your top choice, modify them
for the rest of the applications.
The Research Proposal for the NSF application I think is weird. I
guess it would make more sense if I were a biologist and wanted to
work in Lab X and was already doing publishable research in tissue
cultures or something. For math it is weird because almost no
undergraduates are yet ready for graduate level research... or can even
talk about interesting open problems in a way that does not completely
belie their ignorance. My only advice is to be completely honest. Talk
about a subject/problem that you have enjoyed working on, express an interest in developing your knowledge of that area, maybe talk about
how aspects of it are accessible to undergrads and would bring
together mathematicians at different levels (the NSF loves this sort of thing). I do not recommend that you put a lot of specific "math"
in it. For example, if you did representation theory with Professor
Orrison, don't put in 6 definitions and that huge 20x20 matrix you are
so proud of. Talk about the research in plain English, results, big
picture things, applications to other areas of mathematics, who cares
about it etc. You want to give the NSF an idea of a problem you could
see yourself working on, without being boring, too technical, or ignorant and obnoxious. And while you
definitely want to write about something you understand well enough to
talk about intelligently, it is also good to be aware that this
proposal is not fixing what you are going to work on for the rest of
your life (or even the next several years). From what I have
gathered, they are more interested in seeing that you have the
mathematical maturity to put together a research proposal than in
whether or not that is the particular research you end up doing. This
may not seem like a big distinction, but keeping it in mind can help
make writing the proposal seem less intimidating. Apart from that, talk with your professors about this one. (Professor Gu might be a good resource. She worked for the NSF. I doubt she read grad school proposals, but still she must have a
wealth of information.) This is an excellent presentation on how to apply.
- Your letters of recommendation are far more important than your GRE
scores. You need to think very carefully about who will be writing your
letters. In fact, when you ask people to write your letters, you
should ask them the following question: "Can you write me a strong
letter of recommendation?" This won't offend your letter writers, and
they will tell you if they can't. But make sure you're getting good
letters. If you have a mediocre GRE score and amazing letters, you have
a much better shot of getting into a top-tier school than if you ace
the GRE and your letters suck. I can't say it strongly enough: If you
do nothing else on your application, get good letters of rec.
You will need at LEAST 3 letters of recommendation. Some schools
allow you to submit more which may or may not be reviewed. If you can get more than three (say x_1, x_2, x_3, x_4), then you will have a
choice. For example, if professor x_3 can give you an amazing
recommendation, and professor x_4 can give you a decent recommendation but got his/her Ph.D. from Carnegie Melon, then in your application to that school you may want to use x_1, x_3, and x_4's letters. Yes? I only had 3 letters myself, but you can see the possibilities. It is really important to begin writing the items in (1) ASAP! When
requesting letters of recommendation, use Professor Orrison's guide. Also, you will
want to send them drafts of the items in (1) and politely ask for
feedback if they have the time. Select recommenders who know you, in
whose courses you have performed well, and may have contacts at the institutions in which you are interested. Try to have at least one
non-Mudd recommendation. This is where REU's come in handy. Your
adviser from an REU should be happy to write you a letter.
- See above on how to study for GRE's.
- See the checklist below.
- Remember the GRE's are expensive, and all these applications have fees ranging from $50-$100. I budgeted $2000 for this lousy application process (I applied to 12 schools). Start saving and/or begging!
To give you an idea of how this all fits together, here is a grad school checklist. These are just my opinions. Obviously your advisor's opinions trump mine.
- Focus. And then do this stuff.
- Go to this link. Pick at least three from the top 20 that you weren't planning to apply to and add them to your list.
- Once you have the list of schools you think you are going to apply to, go talk to your advisor and/or any other math prof that knows you well. They can help you make sure you are applying to a reasonable number/set of places and might well point out some awesome program you have overlooked. They can also likely tell you which profs have connections where. This can be useful information when deciding who you want to have write recommendation letters for you.
- There are some schools where the deadlines for you getting in your
part of the application, your recommendation letters arriving, and GRE
scores arriving are not the same - make sure you understand exactly
how the deadlines work at each school. In a similar vein, it is not
always the case that all of your application materials are going to be
sent to the same place. It is quite possible that some things will be
sent to the overall graduate school at the university in question and
that other things will be sent directly to the math department. This
boils down to being careful about reading directions, but it still is
important to be aware of and occasionally you do have to hunt for the
directions. There are some schools where I started to wonder whether
proving you could successfully navigate their mess of a process was
actually part of the application process itself.
- Write down, in a spreadsheet or word document, NSF fellowship,
NDSEG fellowship, other fellowships to which you are applying, your
10+ schools and all their due dates. Pick out the ones with due dates
in mid-December and do the following ASAP:
- Register to apply. (I.e. get username/pw on their site, begin application.)
- Register your recommenders and make sure the application sends emails to all of them.
- Find the address to which you send supplementary materials like
transcripts. Write all the addresses down. When you have all of them,
send the list of full addresses to
email@example.com along with a request to send TWO copies of your
transcript to each school. (You need to send the email from your HMC email account, and you should include your name and class year. See here for more information.)
- You can only send GRE scores automatically to (I think) 3 schools.
For the rest of the schools, go to the ETS website and attempt to sign
in to send your GRE score reports. If it won't let you, call the
number that it tells you to call and ask
them if you can get your scores AND (even if you can't get your
scores) if you can have them sent to more schools as soon as they're
ready. Specify your list of schools and have them sent to the math
- Go read the Statement of Purpose prompt at one of your top-choice
schools and begin writing. You can use essentially the same statement
for all of your schools, but it needs to be good. It should be two
pages single-spaced for most schools. This is one of the
most important parts of your application.
- Whenever you have a free moment, go to one of the schools to which
you are applying and fill out information. It's really pretty
straightforward and simple for the most part, but it's gotta get done.
Questions to discuss with your adviser when you are thinking
about grad schools
Is the geographical location of the school
Is prestige important?
Do you want a department that is primarily pure,
applied, operations research or statistics or do you want a department with
faculty in more than one of these areas?
Is your GRE score strong?
Do you want to work with certain faculty in
Do you want to choose an area of focus before
you begin or remain open to multiple options?
Do you care about the size of the school?
Questions for when you are looking at a particular school. Ask current
grad students as well as the Director of Graduate Studies (usually a faculty
What are the coursework expectations?
How many grad students are in the department?
What is the average number of years it takes
students to complete a PhD?
Is there mentoring for teaching (such a
Preparing the Professoriate Program or in-depth TA training)?
How are students funded? Teaching assistantships? Research assistantships?
Do the grad students socialize with each other?
What kinds of qualifying exams are
administered? What is the pass
Is there good mentorship (ask the current grad
Where do grad students live? What is the rent like? How is transportation to campus?
there awards and fellowships available?
Money for computers?
are the primary research areas in the department? Are there strong research groups and collaborations?
is the graduation rate of students (% successfully completing the PhD Program).
have recent graduates gone to work?
Other Useful Resources:
- Tips for Grad School Visits Campus visits are an important part of your decision making process. Here are some great tips from Ricardo Cortez, on the blog that he and (our own) Prof. Karp launched in February 2013!
is a comprehensive and informative resource that systematically sorts out the available undergraduate and graduate programs available today in the U.S. The information is valuable to students today who are not only dealing with the competitive nature of higher education, but also the rising costs of it.