While we do not offer a terminal master’s degree in Mathematics, we do offer a Master of Arts in Mathematics along the way to a PhD or for those discontinuing the PhD program. There are three routes to obtain the M.A. in Mathematics:

Advancement to Candidacy

Please see the process for advancing to candidacy under “Candidacy Requirements.” To obtain the M.A., students must complete at least 30 credit hours of coursework, with 18 credits in MATH/STAT/AMSC and 27 credits at the 600/700/800 level.

Master’s Degree without Thesis

To satisfy the requirements of the non-thesis route, students must have:

  1. Taken a total of 30 hours of courses carrying graduate credit of which at least 18 are at the 600/700/ 800 level. Of these 18 hours, no less than 15 hours must be in mathematics;
  2. Passed two written exams at the Master's level and fulfilled the course requirements; see this link for more information;
  3. Written a satisfactory scholarly paper and passed a final oral examination.

Master’s Degree with Thesis

To satisfy the requirements of the thesis route, students must have:

  1. Taken a total of 24 hours of courses carrying graduate credit of which at least 15 are at the 600/700/800 level;  Of these 15 hours at least 12 hours must be in mathematics;
  2. Taken at least 3 hours in each of two fields of mathematics distinct from the one in which the thesis is written, and obtained a grade of  "B" or better in each of these courses. These 6 hours are part of the 12 hours mentioned in (1);
  3. Taken 6 hours of thesis research, MATH799, in addition to requirements (1);
  4. Written a satisfactory thesis;
  5. Passed a final oral examination.

Thesis. The M.A. thesis should represent a meaningful piece of independent work which has some novel features, for example, the detailed working out of the application of a general theory or method to some particular case or cases of interest. It must be prepared in the form required by the Graduate School. Each member of the final oral committee must receive a legible typed copy at least one week before the final oral examination. The final thesis must be submitted online by the given semester's deadline.

Nomination of Thesis or Dissertation Committee Form: Contact the Office of Graduate Studies . This should be done at least two months prior to the date of the final oral and in keeping with the graduation deadlines listed by the Graduate School. Forms should be completed in conjunction with the student's thesis advisor and returned to the Graduate Office. This will generate the Report of  Examining Committee form sent from the Graduate School to be signed by all members of the thesis committee.  The student will be examined on the thesis and related topics at the discretion of the examiners.

The semester you plan to advance to candidacy, complete the scholarly paper, or defend your master's thesis, you must apply for graduation at the beginning of the semester. Please see the Graduate Office for details.

For master's requirements in STAT and AMSC, please refer to the respective websites.

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

      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 F2024-S2025 

      • Efficient interpretable regression and classification with translation-invariance

        Speaker: Matt Landreman (Institute for Research in Electronics & Applied Physics, UMD) - https://ireap.umd.edu/clark/faculty/1279/Matt-Landreman

        When: Tue, September 9, 2025 - 3:30pm
        Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f107d126-5ac3-4c0c-b7f0-b35301589819
      • Towards Robust Discretization of PDEs Posed on Surfaces

        Speaker: Mansur Shakipov (Department of Mathematics, UMD) -

        When: Tue, September 16, 2025 - 3:30pm
        Where: https://umd.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=b1e9c8f9-d248-4183-8332-b35a0158d82e
      • Digital Twins, Generative AI, and Beyond: A PDE–Constrained Optimization Perspective

        Speaker: Harbir Antil (George Mason University) - https://math.gmu.edu/~hantil/

        When: Tue, September 23, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Virtues and Pitfalls of Weak-to-Strong Generalization: From Intrinsic Dimensions to Spurious Correlations

        Speaker: Qi Lei (New York University) - https://cecilialeiqi.github.io/

        When: Tue, September 30, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Where do all the scores come from? – generation accuracy of diffusion model, and multimodal sampling via denoising annealing

        Speaker: Molei Tao (Gatech) - https://mtao8.math.gatech.edu/

        When: Tue, October 7, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Time-dependent Hamiltonian Simulation: Quantum Algorithm and Superconvergence

        Speaker: Di Fang (Duke University) - https://sites.math.duke.edu/~difang/

        When: Tue, October 21, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Analysis of a finite element method for PDEs in evolving domains with topological changes

        Speaker: Maxim Olshanskii (University of Houston) - https://www.math.uh.edu/~molshan/

        When: Tue, October 28, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Continuous Data Assimilation Using Non-Interpolant Observables

        Speaker: Vladimir Yushutin (University of Tennessee, Knoxville) - https://web.math.utk.edu/~vyushuti/landing/index.html

        When: Tue, November 4, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Convergence of a finite element discretization of Chorin's projection method for the incompressible Navier-Stokes equations to Leray-Hopf solutions

        Speaker: Franziska Weber (UC Berkeley ) - https://sites.google.com/berkeley.edu/fweber/home?authuser=0

        When: Tue, November 11, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Parsimonious recovery of cryo-em ensemble probabilities

        Speaker: Luke Evans (Flatiron Institute ) - https://users.flatironinstitute.org/~levans/

        When: Tue, November 18, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • Structure-preserving finite element methods for the surface Stokes problem

        Speaker: Michael Neilan (University of Pittsburgh) -

        When: Tue, November 25, 2025 - 3:30pm
        Where: Kirwan Hall 3206
      • TBD

        Speaker: Xiantao Li (Penn State University) - https://xxl12.github.io/main/

        When: Tue, December 2, 2025 - 3:30pm
        Where: Kirwan Hall 3206