PhD in Mathematics

A minimum of 90 credit hours are required for the PhD. This corresponds to a minimum of 3 academic years of full-time study, of which 2 must be in residence at Clarkson. The MS degree may be accepted in lieu of a maximum of 30 credit hours. Of these 90 credit hours, a minimum of 39 credit hours must be in coursework, apportioned as explained below. Prior to advancing to Candidacy, PhD students must complete two subject exams, which should be chosen in consultation with the faculty advisor to align with the student’s research topic.   There is no foreign language requirement for the PhD. Candidates for the PhD are required to prepare an original dissertation in an advanced research area and defend it in an oral examination.

Additional Program Requirements and Procedures for PhD in Mathematics

The satisfaction of these requirements will be certified by the thesis committee. Students must:

• Complete at least a total of 90 hours graduate credit, distributed as below.
• Complete a minimum of 39 credit hours of approved course work (30 of which may be those taken for the MS degree).

The following courses are required (grade B- or better):

• MA 522 (Classical Real Analysis)
• MA 531 (Partial Differential Equations) or MA 533 (Ordinary Differential Equations). Only 1 of MA 531/533 is required, although both are recommended.
• MA 573 (Matrix Theory and Computation)
• MA 578 (Numerical Analysis)
• MA 581 (Probability)
• STAT 582 (Mathematical Statistics I)

Students will need to retake these courses if they do not receive a grade of B- or better.

• During their first semester at Clarkson, students must register for MA 501 (Advanced Calculus) and either MA 513 or MA 573, whichever is offered that semester.
• Graduate-level courses from other institutions are acceptable, but are subject to the approval of the Mathematics Department.
• Students are required to take at least 6 credits hours from graduate non-MA/STAT out-of-department courses with sufficient mathematical contents. Prior to registration, students must obtain approval from the Graduate Committee.
• Complete at least 6 hours of seminar credit. This is in addition to the minimum of 39 credit hours of approved coursework above.
• Complete at least 21, but no more than 45, hours of thesis credit (MA810) related to the dissertation topic.
• Have a Cumulative Grade Point Average (GPA) of at least 3.000 in their course work.

• Pass one subject exam by the end of their fourth semester, and an additional subject exam must be successfully completed by the end of their sixth semester. Exams can be selected based on student’s research area of interest, and their selection should be coordinated with the student’s academic advisor.

  Three subject exams are offered twice a year by the department (August and January). The topics for the subject exams are as follows:

  • Real analysis (advanced calculus, measure theory, functional analysis)
  • Computational mathematics (linear algebra, matrix theory, numerical analysis)
  • Probability and statistics
• Students beyond their 2nd year are expected to present their thesis work on a yearly basis in a colloquium. All students must register the department colloquium.
• Give an oral presentation of a proposed thesis topic to their Thesis Committee within one year of passing their subject exams. The topic must be acceptable to the committee.
• Successfully complete the Proposal Examination, consisting of a formal presentation of the proposed thesis topic to their thesis committee within 1 year of passing the subject exams. The thesis committee consists of at least 4 Clarkson faculty in the Department of Mathematics, at least 1 faculty member from another department, and no less than 5 committee members in total. The topic and the breadth of the proposed work must be acceptable to the committee.
• Complete a doctoral dissertation, present it in a public formal seminar, and defend it to the doctoral thesis committee during an examination period. The dissertation embodies the results of the student's original research.
  
  
   

Our faculty make significant contributions to the world of mathematics and participate in interdisciplinary research with other academics. As a student, you benefit from their mentorship and work closely with them in a collaborative and encouraging environment. Learn more about their experience and areas of specialization.

Meet Our Faculty

The major areas of emphasis in our Department include:

• Applied math education
• Applied statistics
• Applied optimization
• Biomathematics
• Control theory
• Computational mathematics
• Data-driven science
• Dynamical and complex systems
• Image processing

As a student, you have access to Clarkson University centers like the Institute for a Sustainable Environment, the Institute for STEM Education and the Center for Complex Systems Science, where many of our faculty direct and oversee research projects. 

A complete application consists of the following:

• Online Application Form.
• Curriculum Vitae.
• Statement of purpose.
• Three letters of recommendation.
• Official transcripts.
• GRE test scores are optional for those with MS and BS degrees in mathematical sciences (mathematics, applied mathematics, and statistics); for others it is required, but waivers will be considered on a case-by-case basis.
• For international applicants, an English proficiency test is required.
  • Minimum test score requirements: TOEFL (80) and TOEFL Essentials (8.5), IELTS (6.5), PTE (56) or Duolingo English Test (115).
  • The English language-testing requirement is not waived based on language of instruction, nor do we accept university certificates. English testing is waived if an applicant has a degree from a country where English is the Native Language. Click here to see the list of these countries.

Prerequisites: Students must have a BS (or MS) or equivalent degree(s) in mathematics or a closely related field.

Criteria for Acceptance and Helpful Information

What Makes a Successful Candidate?

Typical successful applicants have an undergraduate or a master’s degree in mathematics, applied mathematics, statistics or a related quantitative discipline. While the balance of topics in any student’s background may vary, we expect that applicants have an excellent foundation in undergraduate mathematics, including experience with proof-based courses, coding in at least one programming language such as MATLAB, Python, Julia, R, etc. and fluency in written and spoken English. Prior research experience is not a requirement, but it definitely helps in making a strong case for the student to be accepted.

Dates and Deadlines

Your application can be accepted at any time, although new students are accepted only for the Fall and Spring semesters. Please complete the application at least two months and up to 10 months in advance of the start of the semester. Once an application file is submitted, the faculty review takes at least one month to complete.

Teaching and Research Assistantship Positions

If you are additionally applying for a TA or RA position, please review all additional application deadlines in the Financial Assistance section below.

Reviews for admission and for a TA or RA position are separate, with the TA/RA process significantly more competitive due to a very limited number of available spots. Past successful applicants to TA/RA positions have had significant undergraduate research experience (e.g., participating in semester-long or year-long research projects or potentially co-authoring a publication), and some experience in teaching, whether as a tutor for college-level courses or an undergraduate teaching assistant. In most such cases, recommendation letters and statements of purpose give the committee a good understanding of the content of research/teaching experience and the degree to which students were involved.

Research Fit/Topics

It is critical that the evaluation committee understands how specifically a student may fit into the research program at Clarkson; statements that say “I will do whatever it takes/work on whatever topic” are typically not helpful — instead, we encourage applicants to describe a smaller set of research topics for which they believe they are well prepared and which may keep their interest for the next five years.

No Minimum GPA/GRE Score Required

There are no GPA, GRE or other scales/cutoffs that we use to accept/disqualify applicants; rather, the committee evaluates holistically the set of skills and experiences applicants bring with them.

Most current graduate students are supported by Teaching Assistantships or Research Assistantships. A full appointment covers 30 credit hours of tuition and provides a stipend that covers estimated living expenses.

Teaching Assistantships (TA)

Most PhD students are supported by a TA position. A full appointment requires the student to teach up to 20 hours/week (on average) during the Fall and Spring semesters. In return, a TA position covers the full tuition and pays a living stipend to the student that covers the estimated expenses of living in Potsdam for the full academic year (including during summer). Regularly, PhD students are prioritized for TA positions.

• To apply for a TA position, simply indicate your interest on the application form. Prior teaching experience is not necessary, but it is helpful. The number of TA positions available each year varies. Offers are issued during the Spring semester (for Fall admittance) after a competitive review of interested applicants by the admissions committee.
• All TA positions start in the Fall semester, and the contract runs for one year at a time. If you are looking to start in the Spring semester, you should expect to have external funds to cover the tuition and living expenses for your first semester here (Spring); you would then be competitively evaluated for any available TA positions open in the subsequent Fall.
• TAs can expect to be reappointed in subsequent years for up to five years total, under the condition that they maintain good academic progress (maintain a cumulative GPA above B/3.00 and complete examinations according to deadlines) and perform their teaching duties well.
• The tuition and stipend provided by the full-year TA contract can be used by international students to certify the level of income needed to apply for the F1 visa. The university does not cover the costs of applying for a visa or relocating to Potsdam, NY.
• All new TAs must complete a TA training during their first summer (“TA boot camp”) that involves a virtual/remote portion and an in-person portion during early August. During the TA boot camp, TAs get introduced to different teaching methods, teaching activities and typical U.S. university classroom dynamics. The TA boot camp is organized by the Institute for STEM Education, which additionally tracks the progress and development of TAs. We hope that through this continual teacher training, our PhD graduates have an edge in their first job search and can quickly translate this experience to all future academic positions.

Research Assistantships (RA)

Faculty members occasionally obtain a research grant that funds an RA position. An RA graduate student works closely with the faculty member to achieve research goals. In many cases, this research can form a significant part of the student’s PhD project; in other cases, it may be unrelated to the student’s research.

The RA position carries a similar hourly commitment to the TA position, with the difference that the commitment extends for the full duration of support (not simply Fall/Spring semesters) and with continued funding limited by performance, the need of the funded project and the duration of the grant. RA positions are often filled by second and more senior graduate students. When there are unfilled RA positions open to first-year students, the Department advertises them below.

The annual Mathematics Colloquium is Clarkson University's flagship series of talks in mathematics. Once a week during the Spring semester, we invite visiting speakers, faculty members and graduate students to present their most current research.

Mathematics Colloquium

The program is held on our main campus in Potsdam, New York. Many of our full-time, research-based master's and PhD programs are housed here, as well. Students have access to research facilities, onsite laboratories and other resources.

Potsdam Campus