Ph.D. Programs
We offer Ph.D. programs in both mathematics and applied mathematics. Concentrations are available in computational and interdisciplinary mathematics.
A candidate for the Ph.D. degree must (i) complete course requirements, (ii) pass written qualifying exams, (iii) pass a preliminary oral examination and (iv) conduct thesis research, write a thesis and pass a final oral examination. These steps are described below.
Coursework
All students take a minimum of 30 credit hours of graduate courses in mathematics, numbered 500 and up. Among these should be at least one course each in continuous, discrete and computational mathematics.
More on course requirements
Continuous mathematics | Discrete mathematics | Computational mathematics |
---|---|---|
Complex Variables (MA 513) | Linear Programming (MA 505) | Computer Algebra (MA 522) |
Analysis (MA 515) | Linear Algebra (MA 520) | Uncertainty Quantification (MA 540) |
Control (MA 531) | Abstract Algebra (MA 521) | Graph Theory (MA/CSC 565) |
PDEs (MA 534) | Combinatorics (MA 524) | Modeling (MA 573) |
Probability (MA 546) | Matrix Theory (MA 523) | Numerical Analysis (MA 580) |
ODEs (MA 532) | Algebraic Geometry (MA 726) | |
Topology (MA 551) | ||
Manifolds (MA 555) |
Students who have not had the equivalent of MA 405 (Introduction to Linear Algebra and Matrices), MA 407 (Introduction to Modern Algebra), or MA 425–426 (Mathematical Analysis I and II) must make up these courses. Students who have not had the equivalent of MA 426 may take it for graduate credit by registering for MA 591M.
Qualifying Exams
The Ph.D. qualifying examinations are 3-hour long written exams. The qualifying exam requirements have been revised effective Fall 2025. Please open the links below for further details.
Qualifying exams for PhD students starting Fall 2025 or later
Students who enrolled in the Ph.D. program in Fall 2025 or later must pass two qualifying exams by the end of their second year in the program. Each exam consists of two parts chosen by the student from three possible subjects. These subjects are based on the following one-semester courses:
- For Exam 1, students choose two subjects out of the following three options: Introduction to Analysis (MA 512), Functional Analysis (MA 515), Topology (MA 551).
- For Exam 2, students choose two subjects out of the following three options: Linear Algebra (MA 520), Abstract Algebra I (MA 521), Numerical Analysis I: Discrete Approximations (MA 780).
- Each exam is a 3-hour long written exam. Students can work on both parts of the exam during the whole time.
- Exams are offered every year in August before classes start and in May after the final exams.
- Incoming students may attempt the exams in August before they enroll in their first year. If they do not pass an exam, they have to register for a course from the corresponding group. Additionally, if they lack an undergraduate Analysis II course, they will have to take an analog of MA 426, either as MA 591-001 or starting from Spring 2026 as the new course MA 512.
- It is recommended that students attempt both qualifying exams by the end of their first year. All Ph.D. students must pass both exams by May of their second year.
- Each exam part is written and graded by two faculty members. In order to pass an exam, both parts of the exam must receive a passing grade.
- At the end of the Spring semester, the two exam writers for a particular subject will come up with a study guide for the qualifying exams that year. That study guide will be given to the students in the course, and will be given to the DGP so that any students who want to take the exam and who were not in the course will be able to prepare for the exam.
- Retakes can be done both in August and May, and are limited only by the time deadline that students must pass two exams by the May of their second year.
- When an exam is retaken, the student must take both parts of the exam, even if one part has previously received a passing grade. Retakes do not have to be in the same subjects as those initially failed.
- It is possible to “drop” an exam one has registered for any time up to two weeks before the exam (no questions asked). After that, we recommend students talk to the DGP.
- For part-time students, years will be counted using credit hours, with one year equal to 18 credit hours. For full-time students, calendar years are used. Students who start the graduate program in the spring semester should have a statement from the DGP put into their file specifying the date by which their exams must be taken.
Qualifying exams for PhD students starting Fall 2024 or earlier
Students who enrolled in the Ph.D. program in Fall 2024 or earlier must pass three exams in subjects selected by the student from a list of twelve possibilities. Each subject is represented by a two-semester sequence of courses from among the following:
MA 515-715 | Analysis |
MA 520-720 | Linear Algebra and Lie Algebras |
MA 521-721 | Abstract Algebra |
MA 522-722 | Computer Algebra |
MA 523-723 | Matrix Theory |
MA 524-724 | Combinatorics |
MA 531-731 | Dynamical Systems and Control |
MA 534-734 | Partial Differential Equations |
MA 546-747 | Probability and Stochastic Processes |
MA 551-555 | Geometry and Topology |
MA 573-574 | Modeling |
MA 580-780 | Numerical Analysis |
- For PhD students without a prior Master’s degree in Math or Applied Math: Such students must attempt as many exams as necessary to complete the requirement by August before the start of the third year. If they do not pass all exams at that time, they have until January of the third year to pass all remaining exams.
- For PhD students with a prior Master’s degree in Math or Applied Math: Such students must attempt as many exams as necessary to complete the requirement by August before the start of the second year. If they do not pass all exams at that time, they have until January of the second year to pass all remaining exams. A student with a prior Master’s degree who does not pass any exams when entering the program should enroll in 3 qualifying exam sequences in the first year so that they can attempt 3 exams in the August before the start of the second year.
- For all PhD students: Each exam is written and graded by two faculty members.
- At the end of the Spring semester, the two exam writers for a qualifying exam will come up with a study guide for the qualifying exams that year. That study guide will be given to the students in the course, and will be given to the DGP so that any students who want to take the exam and who were not in the course will be able to prepare for the exam.
- Each exam is a 3-hour long written exam.
- Retakes can be done both in August and January, and are limited only by the time deadline that students must pass all exams by the January of the student’s third year (second year for students with a previous MS degree in Math or Applied Math).
- Retakes do not have to be in the same subjects as those initially failed.
- The number of examinations taken at any given exam period cannot exceed the remaining number of passes need to reach a total of three.
- It is recommended that students attempt at least one to two exams by the end of their first year. By the end of their second year (first year for students entering with an MS in Math or Applied Math), students have to attempt a number of exams equal to the number of exams they have yet to pass.
- It is possible to “drop” an exam one has registered for any time up to two weeks before the exam (no questions asked). After that, we recommend students talk to the DGP. Dropping an exam only applies to students who do have the option to “wait”, i.e., are not required to take the exam at that exam session.
- For part-time students, years will be counted using credit hours, with one year equal to 18 credit hours. For full-time students, calendar years are used. Students who start the graduate program in the spring semester should have a statement from the DGP put into their file specifying the date by which their exams must be taken.
Suggested paths
Faculty have provided these “suggested paths” of courses that students can take, depending on their area of interest. Note, however, that the particular courses most relevant for an individual student will vary depending on which faculty the student works with, and what project the student works on. Hence, it’s important to talk to faculty early to figure out the best courses that are right for each student.
Interest | Qualifying exams | Important courses (if not taken as quals) |
---|---|---|
Algebra | MA 520-720 (Linear/Lie Alg) MA 521-721(Abstract Algebra) and one of MA 524-724 (Combinatorics) MA 555-753 (Geometry/Topology) | MA 725 (Representation Theory) |
Analysis and differential equations | MA 515--715 (analysis) MA 534--734 (PDEs) | MA 532 (ODE) MA 716 (Functional Analysis) MA 719 (Vector Space Methods) MA 732 (ODE II) MA 748 (Stochastic DE) |
Biomath | MA 573-574 (Modeling) MA 580-780 (Numerical Analysis) MA 531-731 (Control Theory) MA 523-723 (Matrix Theory) | MA 771-773 (Biomath) MA 540 (Uncertainty Quantification) ST 511-512 (Statistics for Biology) |
Combinatorics | MA 521-721 (abstract algebra) MA 524-724 (combinatorics) and one of MA 515-715 (analysis) MA 520-720 (Linear/Lie Theory) MA 555-753 (geometry/topology) | MA 726 (Algebraic geometry) MA 725 (Representation theory) |
Financial Math | MA 546--747 (probability) MA 534--734 (PDEs) and one of MA 580--780 (numerical analysis) MA 531--731 (control) | MA 515 (Analysis) MA 547 (Stochastic Calculus in Finance) MA 548 (Monte Carlo Methods for Financial Mathematics) MA 549 (Financial Risk Analysis) MA 580 (Numerical Analysis) MA 748 (stochastic differential equations) |
Geometry and topology | MA 551-555 (geometry/topology) MA 521-721 (abstract algebra) and one of MA 515-715 (analysis) MA 520-720 (Linear/Lie Theory) MA 524-724 (combinatorics) MA 534-734 (PDEs) | MA 515 (analysis) MA 726 (algebraic geometry) MA 754 (algebraic topology) MA 755 (Riemannian geometry) |
Modeling and control | MA 531--731 (control) MA 573--574 (modeling) and one of MA 515--715 (analysis) MA 523--723 (matrix theory) MA 534--734 (PDEs) MA 580--780 (numerical analysis) | MA 515 (analysis) |
Numerical analysis and scientific computing | MA 580--780 (numerical analysis) and two of MA 515--715 (analysis) MA 573--574 (modeling) MA 546--747 (probability) MA 534--734 (PDEs) | MA 515 (analysis) |
Probability | Main : MA 546 - 747 (Probability) MA 515 - 715 (Analysis) Others : MA 523 - 723 (Theory of Matrices) MA 531 - 731 (Dynamical Systems) MA 534 - 734 (PDEs) | MA 544 (Computer Experiments in Mathematical Probability) MA 547 (Financial Mathematics) MA 716 (Advanced Functional Analysis) MA 748 (Stochastic Differential Equations) |
Symbolic computation | MA 522-722 (Computer algebra) and two of the followings: MA 520-720 (Linear/Lie Theory) MA 521-721 (Abstract Algebra) MA 523-723 (Applied Matrix Theory) MA 580-780 (Numerical Analysis) | CSC 505 (Design and Analysis of Algorithms) MA 505 (Linear Programming) MA 706 (Nonlinear Programming) MA 726 (Algebraic Geometry) |
Thesis Research and Defense
Our Ph.D. programs typically take five years. More information about timetable and milestones, including the preliminary and final oral examinations, can be found in our road to graduation.
Summer Internships
We encourage Ph.D. students at all stages of their studies to seek summer employment at government or industry facilities. Through such experiences you will expand your understanding of the mathematical sciences, discover possible areas for thesis research, and enhance your career options.
In the past few years our students have worked as summer interns at national laboratories including Argonne, Lawrence Livermore, Los Alamos, Oak Ridge, PNNL and Sandia; at federal agencies such as the Environmental Protection Agency, the National Security Agency, the Naval Research Laboratory, the Naval Sea System Command and the Army Corps of Engineers; at international research institutions such as the Chinese Academy of Science, INRIA-Rocquencourt (France), Osaka University (Japan), RIKEN (Japan), the University of Canterbury (New Zealand) and Xiamen University (China); and at companies such as Chimerix, Merck, M&T National Bank and SAS.
Advisors, faculty members and the director of the graduate programs can assist in finding summer internships.