Job opportunities for undergraduates who are math majors (sophomore and above) include working as graders and/or tutors during the Fall and/or Spring semesters. Recruitment for these positions occur on the month before the beginning of the semester (August and January). Please be on the lookout for an email announcement regarding recuitment. Applications and inquiries should be sent to

Spring 2023 (February 1st  - May 11th)

 

Location: Jules is tutoring for MATH410 six hours per week in person at the Math Dept. Tutoring Room  - Math 0203 (M/Tu/Wed) and 3 hours per week via zoom.

 MONDAYTUESDAYWEDNESDAYTHURSDAYFRIDAY
9 am - 10 am          
10 am - 11 am   Jules Metcalf-Burton Math 410      
11 am - 12 pm   Jules Metcalf-Burton Math 410      
12 pm - 1 pm          
1 pm - 2 pm  

 

     
2 pm - 3 pm          
3 pm - 4 pm    

Jules Metcalf-Burton Math 410

   
4 pm - 5 pm Jules Metcalf-Burton Math 410   Jules Metcalf-Burton Math 410    

 

COURSE

 

APPROVAL STATUS

AOSC447   Yes
AOSC630   Yes
AREC422   Yes
BIOE372   No
BIOE464   Yes
BIOM601   Yes
BMGT430   Yes
BMGT444   Yes
BMGT452   No
CHBE410 for STAT400   Yes
CMSC320   No
CMSC421   Yes
CMSC422   Yes
ECON424   Yes
ENCE302   No
ENCE422   No
ENCH476 for STAT400   Yes
ENME392   No
EPIB 650   No
EPIB 651   Yes
EPIB300   No
EPIB301   Yes
EPIB463   No
GEOG432   Yes
GEOG472   Yes
GEOG473   Yes
HACS408V   Yes
INST314   No (too similar to STAT401 and STAT430)
INST414   No
INST447   No
MATH424   Yes
STAT426   Yes

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. 

The Mathematics Department is happy to support math majors that present results of their research in research conferences. Funds are distributed on a competitive basis. No deadlines are associated with this program. Students who have posters or oral presentations accepted in research conferences are welcomed to contact the undergraduate chair with requests for support. Funded projects include:

October 2018: Siri Neerchal, AISC Conference, UNC Greensboro

December 2018: Uro Lyi, Winter Simulation Conference 2018, Gothenburg, Sweden

December 2018-January 2019: Tanay Wakhare, Laboratoire des Signaux et Systèmes, Paris-Sud Orsay, France

January 2019: April Nellis, Joint Mathematical Meeting, Baltimore

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