Ph.D. Program in Applied Mathematics

Students must complete the following requirements in order to earn a Ph.D. in Applied Mathematics. Some specializations have specific course requirements for the doctorate; elective courses are determined in consultation with the program adviser. Successful completion of an approved 30-point program of study is required in addition to successful completion of a written qualifying examination taken after two semesters of graduate study. An oral examination, taken within one year after the written qualifying examination, and a thesis proposal examination, taken within two years after the written qualifying examination, are required of all doctoral candidates.

Degree Requirements for Doctor of Philosophy (Ph.D.) in Applied Mathematics

  • 30 points course requirement before the Ph.D. written qualifying exam, with a 3.0 Minimum GPA
    unless a Master’s Degree from another institution has already been earned, in which case students receive 30 points and 2 Residence Units of advanced standing
     
  • Written Qualifying Examination
    courses suggested for preparation for the written qualifying examination are listed in the qualifying examination memorandum

  • 30 points of courses and/or research (beyond M.S.) taken for a letter grade with minimum 3.0 GPA
    can be fulfilled with additional graduate courses related to specialization as well as research points, but no more than 15 points of research can be applied to this 30 point requirement.

  • 6 Residence Units
    one per semester not including summer, takes 3 years without M.S. or 2 years with M.S.

     
  • Oral Exam
    usually Spring of 2nd year

     
  • Thesis proposal
    usually Spring of 3rd year

     
  • Ethics requirements
    online ethics course during Fall of 1st, year, attend departmental ethics seminar during Spring of 1st and 2nd years

  • Master of Philosophy Degree awarded

  • Complete Ph.D. Dissertation
     
  • Successful Defense



Applied Mathematics Courses

  • APMA E4300: Introduction to numerical methods
     
  • APMA E4301: Numerical methods for partial differential equations
     
  • APMS E4302: Introduction to computational science
  • APMA E4400: Introduction to biophysical modeling

  • APMA E6301: Analytic methods for partial differential equations
     
  • APMA E6302: Numerical analysis for partial differential equations


Related Courses of Specialization


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