A student must present their dissertation work within 4 years of advancing to candidacy. Time extensions may be made on a case-by-case basis.

All Math and Math Stat students must contact the Office of Graduate Studies (OGS) when scheduling their final oral (defense) exams. The OGS will assist you with the processing of departmental forms and the necessary paperwork for the Office of the Registrar and the Graduate School. Please contact Trystan Denhard and Jemma Natanson (Kirwan 1106/1108)  /  for further details. 

You must attend a graduation information session, which are advertised each semester. 

     

    Helpful Links:

      Admission to candidacy for the doctoral degree is granted by the Graduate School upon the recommendation of the MATH Graduate Committee. A student must be admitted to candidacy within five years after admission to the doctoral program and at least six months before the date on which the doctoral degree will be conferred. Before a student applies for admission to candidacy he or she must have:

      • passed two written qualifying exams at the Ph.D. level and completed the four required courses with a grade of B or higher;
      • maintained a 3.00 or better GPA in all formal course work;
      • passed the Oral Candidacy Examination.

      Please contact the Office of Graduate Studies to request information on preliminary exams, candidacy forms and the application for candidacy (j and ).

      Forms

      Please submit all forms to the graduate office. 

       

      Checklist and Timeline

       

      Candidacy

      Graduate Students in the MATH, STAT, or AMSC programs are expected to make reasonable progress toward their degrees. In the following charts, a supported student is one who receives funding from the Mathematics Department, either as a TA, GA or as a fellow.

      Notes:

      1. The time limits for support by the Mathematics Department apply even if the student is not supported by the Mathematics Department for some intervening period.
      2. In the absence of exceptional circumstances, students who do not pass all of their written qualifying exams by the end of the January cycle of their THIRD year will be dropped from the program.
      3. In some cases, upon admission, the Graduate Director can negotiate a slower timetable. Examples include part-time students, and students that would benefit from taking 400-level courses in their first year.
      4. Since the requirements in the Scientific Computation concentration of the AMSC program are somewhat different, there is a separate set of charts for students in this concentration.
      5. For students in the Applied Mathematics concentration of the AMSC program, "qualifying exam" may in some cases be replaced by its equivalent in other departments. In BMGT, this may mean two written examinations (since they only cover one semester of material each), and in CMSC this may mean "qualifying requirement".
      6. Please note that it is a University requirement that a student be registered during the semester that they plan on completing their degree/graduating.  

      For the AMSC requirements for Applied Mathematics and Applied Statistics, see the AMSC website

       

      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