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. 

Archives: F2011-S2012 F2012-S2013 F2013-S2014 F2014-S2015 F2015-S2016 F2016-S2017 F2017-S2018 F2018-S2019 F2019-S2020 F2021-S2022 F2022-S2023 F2023-S2024 

  • Numerical Analysis for Operator Learning in SciML

    Speaker: Christoph Schwab (ETH Zurich) - https://math.ethz.ch/research/applied-mathematics-numerical-analysis-scientific-computing/christoph-schwab.html

    When: Tue, September 3, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Aziz Lecture: Multilevel approximation of Gaussian random fields

    Speaker: Christoph Schwab (ETH Zurich) - https://math.ethz.ch/research/applied-mathematics-numerical-analysis-scientific-computing/christoph-schwab.html

    When: Wed, September 4, 2024 - 3:15pm
    Where: Kirwan Hall 3206
  • Runge-Kutta methods are stable

    Speaker: Eitan Tadmor (University of Maryland) - https://www.math.umd.edu/~tadmor/

    When: Tue, September 10, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Weights and applications in numerics

    Speaker: Abner Salgado (University of Tennessee, Knoxville) - https://sites.google.com/utk.edu/abnersg/

    When: Tue, September 17, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=0f98cef1-69eb-46de-8c5b-b1ee0158fd27
  • Multilevel diffusion: Infinite dimensional score-based diffusion models

    Speaker: Nicole Tianjiao Yang (Emory University) - https://nicoletyang.github.io/

    When: Tue, September 24, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=434417b2-66a7-4fa5-bef1-b1f5015ed100
  • Numerical schemes for solving the Cahn-Hilliard equation and other energy based systems

    Speaker: Giordano Tierra (University of North Texas) - https://www.math.unt.edu/~gt0141/

    When: Tue, October 1, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Nonlocal Attention Operator: Towards an Interpretable Foundation Model for Physical Systems

    Speaker: Yue Yu (Lehigh University) - https://www.lehigh.edu/~yuy214/

    When: Tue, October 8, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6eb7ec88-a299-4d1d-b3da-b203015f7839
  • Stochastic-Gradient-based Algorithms for Solving Nonconvex Constrained Optimization Problems

    Speaker: Frank E. Curtis (Industrial and Systems Engineering, Lehigh University) - https://coral.ise.lehigh.edu/frankecurtis/

    When: Tue, October 15, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=926453eb-5a94-4eab-a948-b20a01565457
  • Multiphysics problems related to brain clearance, sleep and dementia

    Speaker: Kent Mardal (University of Oslo ) - https://kent-and.github.io/

    When: Tue, October 22, 2024 - 3:30pm
    Where: Online
  • AdaBB: A Parameter-Free Gradient Method for Convex Optimization

    Speaker: Shiqian Ma (Rice University) - https://sqma.rice.edu/

    When: Tue, October 29, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c0d1241c-6522-4b1a-8bc3-b21801583843
  • Macroscopic Dynamics for Chemical Reactions: Large deviation and Wasserstein diffusion approximation

    Speaker: Yuan Gao (Purdue University) - https://yuangaogao.github.io/

    When: Tue, November 5, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5a47c268-2e27-4756-83e5-b21f016ce455
  • Learning a robust shape parameter for radial basis functions approximation with continual learning

    Speaker: Maria Han Vega (Ohio State University) - https://hanveiga.com/

    When: Tue, November 12, 2024 - 7:45am
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=686113c1-afc6-41d1-9234-b226016b1838
  • Canceled

    When: Tue, November 19, 2024 - 3:30pm
    Where: Kirwan Hall 3206
  • Transport information geometric computations

    Speaker: Wuchen Li (University of South Carolina) - https://people.math.sc.edu/wuchen/

    When: Tue, December 3, 2024 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=73c2db92-b497-442d-8408-b23b01759321
  • Quantum Eigenvalue(phase) Estimation: From Quantum Data to Classical Signal Processing

    Speaker: Zhiyan Ding (University of California, Berkeley) - https://math.berkeley.edu/~zding.m/

    When: Thu, December 12, 2024 - 2:00pm
    Where: Kirwan Hall 3206
  • Some progress on low rank methods for time dependent equations

    Speaker: Yingda Cheng (Virginia Tech) - https://yingdacheng.github.io/

    When: Tue, February 4, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=403cf24f-05f9-466b-85aa-b27a01681c5d
  • Optimal Sampling in Least-Squares Methods

    Speaker: Albert Cohen (Sorbonne Université) - https://www.ljll.fr/cohen/

    When: Tue, February 11, 2025 - 3:30pm
    Where: https://umd.zoom.us/j/97661035379?pwd=eW4xR2xFL3paQ3VCTXd6bjNXNlJNUT09
  • Dynamic Generative AI for Uncertainty Quantification

    Speaker: Feng Bao (Florida State University) - https://www.math.fsu.edu/~bao/

    When: Tue, February 25, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dcea5240-c0b4-4f77-8136-b28f01651d49
  • Computation of origami-inspired structures and mechanical metamaterials

    Speaker: Frederic Marazzato (University of Arizona) - https://sites.google.com/view/marazzaf/home

    When: Tue, March 11, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8796cc66-27e8-42b9-8b36-b29d015a0c76
  • TBA

    Speaker: TBA (TBA) - TBA

    When: Tue, March 25, 2025 - 3:30pm
    Where: Kirwan Hall 3206
  • Discontinuous Galerkin methods for Maxwell’s equations

    Speaker: Peter Monk (University of Delaware) - https://sites.udel.edu/monk/

    When: Tue, April 1, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=33f49515-d74a-4435-95bb-b2b2015a30d4
  • On the Local Linear Convergence of ADMM for Solving SDPs under Strict Complementarity

    Speaker: Heng Yang (Harvard University) - https://hankyang.seas.harvard.edu/

    When: Tue, April 8, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=bf9b52ab-5228-4a5c-a284-b2b9016002e1
  • Data Driven Modeling for Scientific Discovery and Digital Twins

    Speaker: Dongbin Xiu (The Ohio State University) - https://sites.google.com/view/dongbin-xiu

    When: Tue, April 15, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1ae71f02-8959-4058-ba58-b2c001597272
  • 𝐻² conforming virtual element discretization of nondivergence form elliptic equations

    Speaker: Guillaume Bonnet (Université Paris-Dauphine) - https://www.ceremade.dauphine.fr/~bonnet/

    When: Thu, April 17, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=de71a275-f7f9-4400-998b-b2c70168c62a
  • Quantum signal processing and nonlinear Fourier analysis: a dialogue

    Speaker: Lin Lin (University of California, Berkeley) - https://math.berkeley.edu/~linlin/

    When: Tue, April 22, 2025 - 3:30pm
    Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8c974a95-1ae5-45df-95bc-b2c7016768ee
  • Martingale deep learning for very high-dimensional quasi-linear partial differential equations and stochastic optimal controls

    Speaker: Wei Cai (Southern Methodist University) - https://people.smu.edu/cai/

    When: Tue, April 29, 2025 - 3:30pm
    Where: Kirwan Hall 3206
  • Applied Math Colloquium: The Mean-Field Ensemble Kalman Filter

    Speaker: Andrew Stuart (California Institute of Technology) - https://www.eas.caltech.edu/people/astuart

    When: Tue, May 6, 2025 - 3:30pm
    Where: Kirwan Hall 3206
  • Aziz Lecture: Allowing Image And Text Data To Communicate

    Speaker: Andrew Stuart (California Institute of Technology) - https://www.eas.caltech.edu/people/astuart

    When: Wed, May 7, 2025 - 3:15pm
    Where: Kirwan Hall 3206
  • A convergent algorithm for mean curvature flow of surfaces with Dirichlet boundary conditions

    Speaker: Pedro Morin (Universidad Nacional del Litoral and CONICET) - https://www.fiq.unl.edu.ar/depto-mate/pmorin/

    When: Tue, May 13, 2025 - 3:30pm
    Where: Kirwan Hall 3206