Our Graduate Programs
The School of Mathematics and Statistics offers many graduate programs. See below the list of programs, including their Admission Requirements, Program Requirements, Course Selection (M.Sc.) and Comprehensive Examinations (Ph.D). For more information on the programs and their courses, please visit Carleton Graduate Calendar for Mathematics
M.Sc. Mathematics (Applied Mathematics, Probability and Statistics, Pure Mathematics)
Students pursuing studies in pure mathematics, applied mathematics, probability and statistics at the graduate level leading to a M.Sc. do so in a joint program offered by the School of Mathematics and Statistics at Carleton University and the Department of Mathematics and Statistics at the University of Ottawa under the auspices of the OttawaCarleton Institute of Mathematics and Statistics. The Institute is responsible for supervising the programs, regulations, and student admissions, and for providing a framework for interaction between the two departments at the research level.
 Admission Requirements

 The normal requirement for admission to the master’s program is an Honours Bachelor’s degree in mathematics, or the equivalent, with at least high honours standing.
 Applicants holding a general (threeyear) degree with at least high honours standing may be admitted to a qualifyingyear program.
 Subsequent admission to the regular master’s program depends upon performance during the qualifyingyear program and will be decided no later than one year after admission to the qualifyingyear program. Details are outlined in the General Regulations section of the Graduate Calendar.
 Program Requirements

 2.0 credits and a thesis, or
 3.0 credits and a research project, or
 4.0 credits
 Course Selection

With the exception of students in the coursework option, all courses must be taken at the graduate level. Students in the coursework option may take up to 1.0 credit of undergraduate courses at the 4000 level.


Ph.D. Mathematics (Applied Mathematics, Probability and Statistics, Pure Mathematics)
Students pursuing studies in pure mathematics, applied mathematics, probability and statistics at the graduate level leading to a Ph.D. do so in a joint program offered by the School of Mathematics and Statistics at Carleton University and the Department of Mathematics and Statistics at the University of Ottawa under the auspices of the OttawaCarleton Institute of Mathematics and Statistics. The Institute is responsible for supervising the programs, regulations, and student admissions, and for providing a framework for interaction between the two departments at the research level.
 Admission Requirements (Ph. D.)
The normal requirement for admission to the Ph.D. program is a master’s degree in mathematics, or the equivalent, with at least B+ standing. Details are outlined in the General Regulations section of this Calendar.
 Program Requirements (Ph.D.)

 Ph.D Mathematics (10.0 credits)
 3.0 credit in courses, at least 1.0 credit of which must be in a field other than mathematics
 7.0 credits in: MATH 6909 [7.0] Ph.D. Thesis (including a final oral examination on the thesis subject)
 All candidates must take a comprehensive examination. See note on Comprehensive Examinations below.
 Comprehensive Examinations
Students specializing in mathematics or probability undertake a comprehensive examination in the following areas:
 The candidate’s general area of specialization at the Ph.D. level
 Examinations on two topics chosen from applied analysis; discrete applied mathematics, algebra, analysis, probability, topology and statistics.
 Students specializing in statistics must write an examination in the following areas:
 Mathematical statistics which include multivariate analysis
 An examination in probability, and
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