Is grad school (math, applied math, or statistics) right for me?

Generally, there are several things to consider.  Do you enjoy math and are getting excellent grades (mostly grades of A) in rigorous upper-level math courses, such as MATH410, STAT410, and perhaps a couple of graduate courses?  Is your overall GPA reasonable (at least a 3.0)?  Do you enjoy getting involved in research? Graduate programs (particularly Ph.D. programs) are looking for students who can succeed in graduate-level courses and research, so do seek out these opportunities if you enjoy them.

For information regarding which of our courses you might consider if you are interested in grad school, please see:https://www-math.umd.edu/undergraduate/departmental-course-pages/offered-courses.html

For information regarding research opportunities with the department, please see: https://www-math.umd.edu/undergraduate-research.html

What is the timeline for application?

Typically, students start the application process in the fall semester of their senior year in college, after having studied for the subject GRE during the summer.  To get into top 10 grad schools, you will want a score over 800, maybe even higher, on the Math subject test. To get into top 40 grad schools, above 600.  However, don't be disheartened if you end up in, say, the 25th percentile. This is not like the SATs. It's the 25th percentile of a select group who are applying to good grad schools in mathematics.

For more information on GRE, including test dates and locations, please see: https://www.ets.org/gre/test-takers/subject-tests/register.html

Students will also need to be able to secure favorable recommendation letters from faculty members. 

Finally, note that not all graduate programs require the GRE.  For example, master's programs may not.  In fact, each graduate program will have its own specific requirements (GRE scores, application deadlines, etc).  For the most accurate information, students should consult the grad programs they are interested in applying.

Should I apply to a Master's program or Ph.D. program?

Students interested in pursuing a career in research typically apply to Ph.D. programs.  If admitted, they are usually supported financially by the program, receiving stipends in exchange of teaching loads.  Admission to Ph.D. programs are extremely competitive.  Ph.D. programs usually last 5 or more years. 

Students interested in industry typically apply to Master's programs.  However, many grad schools do not offer terminal master's programs.  Also, Master's programs typically do not provide financial support.  Master's programs usually last 2 years. 

I goofed during my first two years in college and as a result, my GPA is not close to 3.0.  Is grad school out of the question for me?

If you have since "turned a new leaf" academically, you could consider applying to non-degree-seeking graduate programs to see if you can re-establish yourself academically.  Here at UMD, non-degree-seeking graduate students are called Special Advanced Students.  Alternatively, you could apply for admission to a master's program to build up credentials for a Ph.D program. 

Which grad schools should I apply to?

This can depend on a number of factors, including your grades, your research experience, your GRE score, and your area of interest.  You could consult with a faculty member whose expertise matches with your area of interest.  For a list of faculty members and their areas of expertise, please see:https://www-math.umd.edu/people/faculty.html

I'm Interested in graduate school but not in math, what should I do?

We encourage you to contact faculty members of the relevant departments. 

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  • Predictive Science and Deep Learning - A Bright Future or an Odd Couple?

    Speaker: Wolfgang Dahmen (Aachen, University of South Carolina) - https://sc.edu/study/colleges_schools/artsandsciences/mathematics/our_people/directory/dahmen_wolfgang.php

    When: Wed, September 20, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • The optimal paper Moebius band

    Speaker: Richard Schwartz (Brown University) - https://www.math.brown.edu/reschwar/

    When: Fri, September 29, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Riehl (TBA)

    Speaker: Emily Riehl (Johns Hopkins University) - https://math.jhu.edu/~eriehl/

    When: Fri, October 6, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Categorification and geometry

    Speaker: Lars Hesselholt (Nagoya University) - https://www.math.nagoya-u.ac.jp/~larsh/

    When: Fri, October 13, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Mathematics Around the Heisenberg Group

    Speaker: Roger Howe (Yale University) - https://www.norbertwiener.umd.edu/fft/2023/Speakers/Roger_Howe.html

    When: Thu, October 26, 2023 - 3:45pm
    Where: Kirwan Hall 3206
  • Decoding Time's Mysteries for Better Predictions

    Speaker: James Howard (Johns Hopkins University) - https://www.norbertwiener.umd.edu/fft/2023/Speakers/James_Howard.html

    When: Thu, October 26, 2023 - 6:45pm
    Where: Kirwan Hall 3206
  • A tale of two invariants

    Speaker: Paul Feehan (Rutgers) - https://sites.math.rutgers.edu/~feehan/

    When: Wed, November 15, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Using logic to study homeomorphism groups

    Speaker: Thomas Koberda (University of Virginia) - https://sites.google.com/view/koberdat

    When: Wed, November 29, 2023 - 3:15pm
    Where: Kirwan Hall 3206
  • Generative Models for Implicit Distribution Estimation: a Statistical Perspective

    Speaker: Yun Yang (University of Illinois Urbana-Champaign) - https://sites.google.com/site/yunyangstat/

    When: Thu, January 25, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Video Imputation and Prediction Methods with Applications in Space Weather

    Speaker: Yang Chen (University of Michigan) - https://yangchenfunstatistics.github.io/yangchen.github.io/

    When: Tue, January 30, 2024 - 4:00pm
    Where: Kirwan Hall 3206
  • Arboreal Galois groups: an introduction

    Speaker: Robert Benedetto (Amherst College) - https://rlbenedetto.people.amherst.edu/

    When: Wed, February 7, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • Higher theta series

    Speaker: Zhiwei Yun (MIT) - https://math.mit.edu/~zyun/

    When: Wed, February 28, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • Random lattices and their applications in number theory, geometry and statistical mechanics

    Speaker: Jens Marklof (School of Mathematics, University of Bristol) - https://www.bristol.ac.uk/people/person/Jens-Marklof-6eb63e14-a018-4833-9cf8-b95272b5a09e/

    When: Fri, March 1, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • TBA

    Speaker: Svetlana Jitomirskaya (University of California, Berkeley) - https://math.berkeley.edu/people/faculty/svetlana-jitomirskaya

    When: Thu, March 14, 2024 - 3:00pm
    Where: Kirwan Hall 3206
  • Instantaneous everywhere-blowup of parabolic stochastic PDEs

    Speaker: Davar Khoshnevisan (University of Utah) - http://www.math.utah.edu/~davar/

    When: Wed, April 3, 2024 - 3:15pm
    Where: Kirwan Hall 3206