The requirements below are for students in pure mathematics, not in statistics. For students in Statistics: Qualifying Exams must be passed in Statistics, Probability, and Applied Statistics.

1. Students must pass 2 qualifying exams from the following list:

Algebra (Math 600, 601)
Analysis (Math 630, 660)
Geometry (Math 730, 740; Exam not available to students entering in 2018 or later)
Probability (Stat 600, 601)
Statistics (Stat 700, 701)

A student in pure mathematics can use at most one of Probability and Statistics to satisfy the exam requirement.

The Geometry exam will be discontinued after January 2020. Until then, it will only be available to students admitted during 2017 or earlier.

2. Students must take four additional semesters of courses from the following list, with a grade point average of 3.3 or better for the four courses used to satisfy this requirement. Courses with grades less than B cannot be included (for example, B− is not allowed).

Math 600, 601 (Algebra)
Math 630, 660 (Analysis)
Math 730, 740 (Geometry)
Stat 600, 601 (Probability)
Stat 700, 701 (Statistics)
Math 634 (Harmonic Analysis)
Math 642 (Dynamical Systems I)
Math 712, Math 713 (Logic)
Math 734 (Algebraic Topology)
Math 744 (Lie Groups)
AMSC 666, AMSC 667 (Numerical Analysis)
Math 631 (Real Analysis)
Math 670 (ODE)
Math 673, Math 674 (PDE)

The four semesters are not required to be in the same sequence of courses. For example, Math 730, Math 670, AMSC 666, and AMSC 667 would be acceptable. These four semester-long courses must be distinct from the ones supporting the qualifying exams passed in Part 1.

A student may take and pass a third (and possibly, a fourth) qualifying exam in place of taking the actual courses. For example, passing the written exams
in Algebra, Analysis, and Geometry would count as 2 exams plus 2 semesters.

One qualifying exam must be passed by January of the second year, and all requirements must be finished by January of the third year.

Students who have taken courses from the second list elsewhere may petition the graduate chair to have such courses satisfy up to two semesters of the four-semester requirement (although generally students should instead use these courses as preparation for qualifying exams).

Each course on the lists should have serious assessment methods (graded homework, projects, exams, and/or similar). There should be some significant assessment that is guaranteed to be done solely by the student (that is, an exam, not only homework).

Archives: F2011-S2012 F2012-S2013 F2013-S2014 F2014-S2015 F2015-S2016 F2016-S2017 F2017-S2018 F2018-S2019 F2019-S2020 F2020-S2021 F2021-S2022 F2022-S2023 

  • 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