PhD in Mathematics

Clarkson University Graduate School

Program Description

PhD in Mathematics

Clarkson University Graduate School

These programs are designed for you to increase your fundamental knowledge and to give you guidance and experience in applied research.

Mathematics means a lot more than just numbers. Math is concepts, creativity, invention, and solutions. It is the heart of applied science. Clarkson University offers graduate programs leading to an MS degree in mathematics. The emphasis of our degree program and our research activities is applied mathematics: dynamical systems, optimization, numerical analysis and computational methods, probability and statistics.

As a graduate student, you pursue these objectives by taking advanced courses, participating in seminars and carrying out and reporting on a research project. The department provides the advantage of a close personal association between you and the faculty, giving you individualized attention regarding your needs and interests.

Curriculum

The Ph.D. in Mathematics consists of 90 credits above a bachelors degree. These credits are taken in coursework, seminar and project work to fulfill the Ph.D. requirement.

Research Opportunities

Almost all Math faculty conduct original research and receive funding from federal, state or private sources. Our research funding (per capita) is over twice the national average. Other important departmental programs include educational outreach partnerships with local school districts and their students.

Current areas of research interest include:

  • Dynamical Systems
  • Network and Complex Dynamics
  • Applied Optimization and Optimal Design
  • Numerical PDEs and Analysis
  • Applied Statistics, Biostatistics and Probability
  • Environmental, Sustainability and Interdisciplinary Research
  • Biometrics

Research Environment

Clarkson University supports a highly collaborative environment, not only within the Math department but broadly across the full campus. Graduate students often have the opportunity to collaborate with more than one professor and to engage in interdisciplinary research. Math faculty has ongoing research projects with faculty from every school and nearly every department on campus, allowing our faculty and students to work on some of the most compelling problems facing today’s world.

Ph.D. Degree

  • Take at least 39 credit hours of approved course work (30 of which may be those taken for the MS degree) As required by University regulations, the coursework must contain a minimum of fifteen hours in his/her major area, a minimum of nine hours in a minor area, and a minimum of six hours of work outside the department. Cross registered graduate-level courses from other institutions are acceptable. The major area and minor area will be identified by the candidate's advisor and must be approved by the graduate committee.
  • Have an overall grade point average of at least 3.00 in his/her coursework.
  • By the end of the second semester (not including summer), every Ph.D. student must pass a General Comprehensive Exam. The purpose of this exam is to determine whether or not a student possesses the fundamental knowledge and skills to pursue Ph.D. level research and course content. The topics cover Calculus, Differential Equations, Linear Algebra, Real Analysis, Probability, and Statistics. The exam is offered in August, January, and May. By the fourth semester (summer not included) every Ph.D. student must pass two additional written Comprehensive Examinations. One exam will be from Category I and one from Category II below. The choices must be approved by the student's advisor and the graduate committee. In the event that a student has not satisfied these conditions within the time limit allowed, the student must petition the graduate committee in order to continue studies.
  • Category I: (Pure Math) Real Analysis, Complex Analysis, Sets and Topology, Numerical Analysis.
  • Category II: Matrix Theory and Computations, Partial Differential Equations and Boundary Value Problems, Ordinary Differential Equations, Probability and Measure Theory, or Statistics.Acquire at least six hours of seminar credit. A seminar is a course in which the student is expected to make presentations to the class. This is in addition to the minimum of 39 credit hours of approved coursework in (i) above. One hour of seminar credit may be earned by either attending a regularly scheduled seminar and making one presentation, or attending all colloquia for one semester and giving one presentation at an MCS Seminar (which would be scheduled during the regular colloquium time.)
  • Have made a formal presentation of a proposed thesis topic to his/her Thesis Committee (see part (vi)) within one year of passing his/her Comprehensive Exam (part iii). The topic must be acceptable to the committee
  • Write and defend (to his/her Thesis Committee) a dissertation which embodies the results of his/her original research. In association with this work, the student must obtain at least 21, but no more than 45, hours of thesis credit. The Thesis Committee consists of at least five Clarkson faculty members of whom at least one is from another department
  • Complete a total of 90 hours graduate credit. The satisfaction of these requirements will be certified by the Thesis Committee.

General Admission Requirements

Students must have a BS (or MS) or equivalent degree(s) in mathematics/closely related subject. Admission to the mathematics Ph.D. program depends upon approval by the Mathematics Graduate Committee.

A complete application file consists of the following items:

  • application form
  • resume and statement of purpose
  • letters of recommendation — three letters required
  • official transcripts
  • test scores — GRE* and a score of 80 for TOEFL/6.5 for IELTS (if applicable)

*GRE may be waived for some applicants.

Supplemental information may be submitted if desired; this could include any other information that may help us evaluate your application.

This school offers programs in:
  • English


Last updated February 14, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Sept. 2018
Duration
Duration
Full time
Price
Price
Information
Deadline
Locations
USA - Potsdam, New York
Start date: Sept. 2018
Application deadline Request Info
End date Request Info
Dates
Sept. 2018
USA - Potsdam, New York
Application deadline Request Info
End date Request Info